Search is not available for this dataset
scenario
string
published_split
string
source_split
string
evaluation_type
string
query_id
string
base_query_id
string
is_validation
bool
domain
string
source_dataset
string
source_sample_id
string
variant_type
string
query_text
large_string
input_json
large_string
media_json
large_string
provenance_json
large_string
embedding_model
string
embedding
list
model_ids
list
performance
list
cost_cny
list
latency_ms
list
chinese
train
train
train
AlignBench-generation_open-100
null
false
AlignBench
AlignBench
AlignBench-generation_open-100
original
一条宽度为10m,深度为2m的矩形河道中,水以2m/s的速度流动。假设水的密度ρ为1000kg/m³,请给出解答:  a) 河道中水的流量,b) 河道中水的动能,c) 河道中水的总动能。
{"text":"一条宽度为10m,深度为2m的矩形河道中,水以2m/s的速度流动。假设水的密度ρ为1000kg/m³,请给出解答:\n a) 河道中水的流量,b) 河道中水的动能,c) 河道中水的总动能。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.0034384168684482574, 0.037582479417324066, -0.05768416076898575, 0.0062284269370138645, 0.007879799231886864, -0.018526552245020866, -0.044909022748470306, -0.020905958488583565, 0.007211013697087765, -0.007465955335646868, -0.01676052249968052, -0.011413704603910446, 0.008750895038247108,...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.699999988079071, 0.800000011920929, 0.800000011920929, 0.699999988079071, 0.800000011920929, 0.6000000238418579, 0.8999999761581421, 1, 1, 1 ]
[ 0.042561, 0.179253, 0.0306957, 0.1261512, 0.17584, 0.11856, 0.029896, 0.17112, 0.12412, 0.286576 ]
[ 1420413.646, 1038896.002, 4411102.973, 458766.092, 4403567.378, 3302731.031, 4892089.8889999995, 2981129.141, 5731107.698, 15529674.615 ]
chinese
train
train
train
AlignBench-generation_open-101
null
false
AlignBench
AlignBench
AlignBench-generation_open-101
original
下面是一道多选题,它包含多个正确选项,请仔细查看选项并直接给出所有正确的答案。  哪些因素会影响物体在水中的浮力?  A. 物体的质量  B. 物体的体积  C. 水的密度
{"text":"下面是一道多选题,它包含多个正确选项,请仔细查看选项并直接给出所有正确的答案。\n 哪些因素会影响物体在水中的浮力?\n A. 物体的质量\n B. 物体的体积\n C. 水的密度"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.01193390041589737, 0.04081503674387932, -0.06803224980831146, -0.00573762459680438, -0.010950729250907898, -0.03551159426569939, -0.03350245580077171, 0.031539786607027054, 0.012936996296048164, -0.00961801502853632, -0.02431526966392994, 0.009463091380894184, -0.008843454532325268, -0.0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 0.8999999761581421, 1, 0.8999999761581421, 0.699999988079071, 0.699999988079071, 1, 0.699999988079071, 0.699999988079071, 0.8999999761581421 ]
[ 0.003372, 0.008091, 0.0030093, 0.0067872, 0.02404, 0.042012, 0.015686, 0.009504, 0.033332, 0.045204 ]
[ 1313172.115, 310968.62700000004, 4144054.6969999997, 367965.716, 4131023.421, 3140027.25, 4722989.0770000005, 2710936.975, 5557699.068, 14839562.978 ]
chinese
train
train
train
AlignBench-generation_open-102
null
false
AlignBench
AlignBench
AlignBench-generation_open-102
original
世界最大的海港是哪个海港?
{"text":"世界最大的海港是哪个海港?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.020801996812224388, 0.02039501816034317, -0.026009758934378624, -0.008262568153440952, -0.016737347468733788, 0.010994532145559788, -0.037320587784051895, -0.04788618162274361, 0.02067515254020691, -0.0007475424208678305, 0.014601526781916618, 0.026821594685316086, -0.0033523410093039274, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 1, 0.5, 1, 1, 0.8999999761581421, 1, 0.8999999761581421, 1, 1 ]
[ 0.003207, 0.015021, 0.0130074, 0.0065058, 0.06512, 0.055848, 0.009016, 0.011064, 0.029624, 0.021196 ]
[ 1401770.131, 4014746.378, 4529121.095000001, 445400.78599999996, 4551499.664, 3388445.228, 4949277.829, 3008104.0429999996, 5780302.337, 1126739.1230000001 ]
chinese
train
train
train
AlignBench-generation_open-104
null
false
AlignBench
AlignBench
AlignBench-generation_open-104
original
下面是一道多选题,它包含多个正确选项,请仔细查看选项并直接给出所有正确的答案。  下面哪些是海水淡化方法()  A、蒸馏法  B、反渗透法  C、水合物法  D、冰冻法
{"text":"下面是一道多选题,它包含多个正确选项,请仔细查看选项并直接给出所有正确的答案。\n 下面哪些是海水淡化方法()\n A、蒸馏法\n B、反渗透法\n C、水合物法\n D、冰冻法"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.012650148943066597, 0.027920974418520927, -0.03380533680319786, -0.006213318090885878, -0.013992627151310444, -0.018807945773005486, 0.023878643289208412, 0.014611367136240005, 0.013833132572472095, 0.024382293224334717, -0.017722269520163536, -0.013114726170897484, 0.02784876711666584, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.5, 0.4000000059604645, 0.30000001192092896, 0.5, 0.5, 0.5, 0.6000000238418579, 0.4000000059604645, 0.4000000059604645, 0.4000000059604645 ]
[ 0.001341, 0.003159, 0.006006, 0.0058338, 0.06698, 0.0162, 0.004756, 0.006336, 0.009932, 0.018024 ]
[ 1299540.303, 3731790.282, 4132454.758, 361997.387, 4121603.852, 3115158.132, 4680565.549, 2690109.809, 5525870.468, 14707116.908 ]
chinese
train
train
train
AlignBench-generation_open-105
null
false
AlignBench
AlignBench
AlignBench-generation_open-105
original
下面是一道多选题,它包含多个正确选项,请仔细查看选项并直接给出所有正确的答案。  第一次和第二次世界大战爆发的导火线事件是?  A. 萨拉热窝事件  B. 波茨坦会议  C. 波兰偷袭  D. 孤立政策
{"text":"下面是一道多选题,它包含多个正确选项,请仔细查看选项并直接给出所有正确的答案。\n 第一次和第二次世界大战爆发的导火线事件是?\n A. 萨拉热窝事件\n B. 波茨坦会议\n C. 波兰偷袭\n D. 孤立政策"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.06774086505174637, 0.001862619537860155, -0.0658533126115799, 0.036766137927770615, -0.018232813104987144, -0.02153130993247032, -0.009020081721246243, -0.006530591286718845, 0.017466183751821518, 0.011050984263420105, 0.027185000479221344, -0.002260406967252493, 0.005167292430996895, -0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 0.8999999761581421, 1, 0.8999999761581421, 1, 0.8999999761581421, 0.8999999761581421, 1, 0.8999999761581421, 1 ]
[ 0.007851, 0.012753, 0.0046704, 0.0088074, 0.04216, 0.027288, 0.006718, 0.01962, 0.05088, 0.052476 ]
[ 1362337.3180000002, 3885440.42, 4311534.735, 409789.778, 4317438.889, 3251480.974, 4821066.237, 2864046.638, 5682200.477, 15311875.312 ]
chinese
train
train
train
AlignBench-generation_open-107
null
false
AlignBench
AlignBench
AlignBench-generation_open-107
original
板块构造学说是谁提出的?主要观点是什么?
{"text":"板块构造学说是谁提出的?主要观点是什么?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.026792019605636597, -0.0051191444508731365, -0.013297738507390022, 0.03367234393954277, 0.016255715861916542, -0.006690606940537691, -0.03842083364725113, -0.006047685164958239, 0.0037578302435576916, -0.011371535249054432, -0.006634525954723358, 0.04089149087667465, -0.025997359305620193...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 0.8999999761581421, 1, 1, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421, 0.800000011920929, 1, 0.8999999761581421 ]
[ 0.00639, 0.031806, 0.0137466, 0.0147798, 0.26582, 0.100152, 0.017498, 0.042588, 0.054336, 0.083316 ]
[ 1335168.621, 3797431.637, 4251190.847, 390591.143, 4265622.058, 3202605.1659999997, 4769510.926, 2773821.5409999997, 5613221.361, 98581.959 ]
chinese
train
train
train
AlignBench-generation_open-108
null
false
AlignBench
AlignBench
AlignBench-generation_open-108
original
惟知跃进是谁的口号?
{"text":"惟知跃进是谁的口号?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.026676656678318977, 0.00369324185885489, -0.006559711880981922, 0.0011632699752226472, -0.005029201973229647, -0.06069295108318329, -0.005657801870256662, 0.013673890382051468, -0.031810320913791656, 0.004280693829059601, -0.026744535192847252, -0.01820833794772625, -0.027271291241049767,...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 0.8999999761581421, 0.30000001192092896, 0.30000001192092896, 0.8999999761581421, 0.30000001192092896, 0.20000000298023224, 0.30000001192092896, 1, 0.10000000149011612 ]
[ 0.001605, 0.003195, 0.0014385, 0.0083832, 0.07252, 0.09762, 0.032458, 0.0483, 0.020544, 0.008784 ]
[ 1323292.5210000002, 3746976.3680000002, 4163583.0340000005, 379213.196, 4180928.7830000003, 3196022.608, 91555.526, 2761332.265, 5587132.19, 14879066.290000001 ]
chinese
train
train
train
AlignBench-generation_open-109
null
false
AlignBench
AlignBench
AlignBench-generation_open-109
original
什么是超新星?
{"text":"什么是超新星?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.024349210783839226, -0.03600218892097473, -0.056103359907865524, 0.03659119829535484, 0.016003184020519257, -0.036291297525167465, -0.030122457072138786, 0.027094734832644463, 0.004578980151563883, -0.0076813772320747375, -0.022359661757946014, 0.03168077394366264, -0.008781712502241135, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 1, 0.800000011920929, 1, 1, 0.800000011920929, 1, 0.8999999761581421, 0.800000011920929, 1 ]
[ 0.011835, 0.027864, 0.0190218, 0.0135618, 0.11558, 0.063564, 0.013428, 0.013164, 0.055288, 0.03258 ]
[ 1394748.411, 3968260.1169999996, 4470372.277000001, 435560.527, 4489060.470000001, 3346197.184, 4912531.79, 2947457.983, 497436.361, 15652300.233 ]
chinese
train
train
train
AlignBench-generation_open-11
null
false
AlignBench
AlignBench
AlignBench-generation_open-11
original
法国、英国、西班牙、瑞士、德国、意大利、荷兰、比利时,其中任意2个国家相互接壤,是对的么
{"text":"法国、英国、西班牙、瑞士、德国、意大利、荷兰、比利时,其中任意2个国家相互接壤,是对的么"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.014275794848799706, 0.029666796326637268, -0.011096927337348461, -0.027701865881681442, -0.010627190582454205, -0.00787532702088356, 0.014402012340724468, -0.04262268915772438, 0.0014482190599665046, -0.011792316101491451, 0.007660551927983761, 0.02892538160085678, 0.0070519521832466125, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.699999988079071, 0.699999988079071, 1, 1, 1, 0.8999999761581421, 1, 1, 1, 1 ]
[ 0.007893, 0.004752, 0.0160482, 0.0188958, 0.1075, 0.059496, 0.009102, 0.03246, 0.040064, 0.035556 ]
[ 1351429.14, 3832811.867, 4321172.358, 408035.02099999995, 4292436.583, 3227586.6289999997, 4794786.917, 2843528.4379999996, 5646281.28, 1084334.137 ]
chinese
train
train
train
AlignBench-generation_open-111
null
false
AlignBench
AlignBench
AlignBench-generation_open-111
original
有哪些在家庭经济学领域擅长理论模型推导、在核心期刊上发表过高被引文章的学者?
{"text":"有哪些在家庭经济学领域擅长理论模型推导、在核心期刊上发表过高被引文章的学者?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.03772673010826111, 0.0011747878743335605, -0.05109231919050217, -0.006364902015775442, 0.022957809269428253, -0.0002675580617506057, 0.027580298483371735, -0.015963014215230942, -0.029434731230139732, -0.013827378861606121, -0.010468797758221626, 0.033797040581703186, -0.04500138759613037...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.8999999761581421, 0.6000000238418579, 0.5, 0.800000011920929, 1, 0.8999999761581421, 0.800000011920929, 0.699999988079071, 0.800000011920929 ]
[ 0.016542, 0.098631, 0.0118818, 0.0058926, 1.62962, 0.157272, 0.042778, 0.590784, 0.116828, 0.033152 ]
[ 1430586.1930000002, 414549.77999999997, 3518504.119, 460142.48, 1889575.321, 3481438.6909999996, 5062656.380000001, 3743485.6289999997, 5865684.956, 11828.837 ]
chinese
train
train
train
AlignBench-generation_open-112
null
false
AlignBench
AlignBench
AlignBench-generation_open-112
original
当发现自己有 HIV 感染可能时,应该怎么做?
{"text":"当发现自己有 HIV 感染可能时,应该怎么做?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.04168638214468956, -0.005725326016545296, -0.041301969438791275, 0.03587706387042999, -0.007518483325839043, -0.025810185819864273, -0.007946982979774475, 0.02144964225590229, 0.026111045852303505, -0.0014102522982284427, -0.015058034099638462, 0.038221947848796844, -0.04186943545937538, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 1, 1, 0.8999999761581421, 1, 1, 1, 1, 0.8999999761581421, 1 ]
[ 0.008157, 0.032787, 0.0134484, 0.0098742, 0.19874, 0.062652, 0.016484, 0.047676, 0.054528, 0.07102 ]
[ 1418883.079, 4112252.812, 4594494.573, 460135.62200000003, 4661840.6850000005, 3427046.683, 4999276.584, 3091732.6870000004, 5832150.844, 16188263.333 ]
chinese
train
train
train
AlignBench-generation_open-116
null
false
AlignBench
AlignBench
AlignBench-generation_open-116
original
写一个ARM汇编指令,实现将寄存器R1中的值左移两位,然后将结果存储在寄存器R0中。
{"text":"写一个ARM汇编指令,实现将寄存器R1中的值左移两位,然后将结果存储在寄存器R0中。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.007455968298017979, 0.005810443311929703, -0.035015907138586044, 0.00314114592038095, -0.01178088691085577, -0.01762497052550316, -0.01722707226872444, 0.017445657402276993, 0.014805670827627182, -0.023091275244951248, -0.04499347135424614, 0.012588175013661385, 0.03215673565864563, -0....
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.8999999761581421, 1, 1, 0.8999999761581421, 1, 1, 0.800000011920929, 1, 1 ]
[ 0.002301, 0.007038, 0.0088053, 0.0124824, 0.05464, 0.01824, 0.00539, 0.007548, 0.02254, 0.025004 ]
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chinese
train
train
train
AlignBench-generation_open-118
null
false
AlignBench
AlignBench
AlignBench-generation_open-118
original
屋漏偏逢连夜雨,船迟又遇打头风。是谁写的?
{"text":"屋漏偏逢连夜雨,船迟又遇打头风。是谁写的?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
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[ 0.8999999761581421, 0.6000000238418579, 0.30000001192092896, 0.6000000238418579, 1, 0.8999999761581421, 0.5, 0.4000000059604645, 0.6000000238418579, 0.8999999761581421 ]
[ 0.003342, 0.011268, 0.0947289, 0.030198, 0.09626, 0.039576, 0.016464, 0.033924, 0.007816, 0.033084 ]
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chinese
train
train
train
AlignBench-generation_open-119
null
false
AlignBench
AlignBench
AlignBench-generation_open-119
original
"周扒皮"是哪位著名作家笔下的恶霸地主?
{"text":"\"周扒皮\"是哪位著名作家笔下的恶霸地主?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
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[ 0.699999988079071, 0.699999988079071, 0.6000000238418579, 0.699999988079071, 0.8999999761581421, 1, 0.8999999761581421, 0.4000000059604645, 0.6000000238418579, 0.6000000238418579 ]
[ 0.002154, 0.004113, 0.0027258, 0.005187, 0.06116, 0.019008, 0.00444, 0.006264, 0.014644, 0.01694 ]
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chinese
train
train
train
AlignBench-generation_open-12
null
false
AlignBench
AlignBench
AlignBench-generation_open-12
original
尤文图斯的欧冠亚军次数加上AC米兰的欧冠冠军次数等于多少?
{"text":"尤文图斯的欧冠亚军次数加上AC米兰的欧冠冠军次数等于多少?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.012391837313771248, 0.009924252517521381, -0.047279711812734604, 0.03855810686945915, 0.009371371939778328, -0.0023455286864191294, -0.01487860269844532, -0.002021410269662738, -0.008995539508759975, -0.016267001628875732, -0.00798347033560276, 0.05350175127387047, -0.029513144865632057, ...
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[ 0.8999999761581421, 1, 1, 1, 1, 1, 0.8999999761581421, 1, 1, 1 ]
[ 0.003897, 0.010287, 0.0083013, 0.0076776, 0.07572, 0.055956, 0.011482, 0.025788, 0.024668, 0.023212 ]
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chinese
train
train
train
AlignBench-generation_open-120
null
false
AlignBench
AlignBench
AlignBench-generation_open-120
original
请提供一句话对《1984》这本书进行概括,并解释它的主题或核心思想是什么。
{"text":"请提供一句话对《1984》这本书进行概括,并解释它的主题或核心思想是什么。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
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[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 1, 1, 0.8999999761581421, 0.8999999761581421, 1, 1, 0.8999999761581421, 1, 1 ]
[ 0.001722, 0.013806, 0.0034125, 0.0047712, 0.09422, 0.043632, 0.011274, 0.004752, 0.041928, 0.023112 ]
[ 1313041.7210000001, 3760311.669, 4149118.9899999998, 368928.802, 4167472.848, 3140543.344, 4718437.113, 2709668.873, 5569401.614, 14843154.515 ]
chinese
train
train
train
AlignBench-generation_open-124
null
false
AlignBench
AlignBench
AlignBench-generation_open-124
original
我是一个法学教授,我的学生向我咨询下面的刑事纠纷案例,我应该怎么解答[甲与乙有仇,于是把乙家丝瓜地里的丝瓜全部都打了毒针。乙家晚上吃饭吃丝瓜后,一死两伤。在中国,甲触犯了哪些法律]
{"text":"我是一个法学教授,我的学生向我咨询下面的刑事纠纷案例,我应该怎么解答[甲与乙有仇,于是把乙家丝瓜地里的丝瓜全部都打了毒针。乙家晚上吃饭吃丝瓜后,一死两伤。在中国,甲触犯了哪些法律]"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
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[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 0.6000000238418579, 0.8999999761581421, 1, 0.699999988079071, 0.699999988079071, 0.699999988079071, 0.800000011920929, 0.699999988079071, 1 ]
[ 0.029829, 0.056628, 0.0464373, 0.0153804, 0.52342, 0.095268, 0.02503, 0.293952, 0.069832, 0.450464 ]
[ 1377773.045, 912443.139, 3565653.4820000003, 399069.009, 4389325.755, 3235882.669, 4813891.872, 5713246.064, 5655121.518, 1186348.571 ]
chinese
train
train
train
AlignBench-generation_open-13
null
false
AlignBench
AlignBench
AlignBench-generation_open-13
original
C大七和弦和C小七和弦有几个音不同?他们分别是和弦的第几个音?
{"text":"C大七和弦和C小七和弦有几个音不同?他们分别是和弦的第几个音?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.012839716859161854, 0.03956479951739311, -0.07020994275808334, 0.02288396656513214, 0.019236775115132332, -0.03790094703435898, 0.02558889240026474, 0.009395101107656956, 0.011845299042761326, -0.02577514760196209, 0.0024163585621863604, -0.033970508724451065, 0.022497424855828285, -0.0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.5, 1, 1, 1, 1, 0.800000011920929, 1, 0.800000011920929, 0.8999999761581421, 1 ]
[ 0.003627, 0.020844, 0.0118692, 0.011655, 0.07898, 0.055716, 0.005968, 0.014712, 0.025568, 0.018036 ]
[ 1328434.858, 3796578.854, 4201565.793, 381600.018, 4191726.421, 3172035.0480000004, 4736814.244, 2746485.002, 5594069.842, 1058171.517 ]
chinese
train
train
train
AlignBench-generation_open-15
null
false
AlignBench
AlignBench
AlignBench-generation_open-15
original
C大调音阶的9音和C大调音阶的第2个音是否相同?
{"text":"C大调音阶的9音和C大调音阶的第2个音是否相同?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.006511399522423744, 0.0022695139050483704, -0.05446987226605415, 0.011342728510499, 0.007413793820887804, -0.04375714436173439, -0.000817741034552455, 0.026449544355273247, -0.02322957292199135, -0.04112190753221512, 0.002364276209846139, -0.025832360610365868, -0.005523382220417261, 0.0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.4000000059604645, 0.8999999761581421, 0.800000011920929, 0.800000011920929, 1, 0.800000011920929, 0.800000011920929, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421 ]
[ 0.004692, 0.012402, 0.0192066, 0.0137634, 0.09412, 0.044184, 0.015614, 0.010092, 0.037112, 0.034172 ]
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chinese
train
train
train
AlignBench-generation_open-16
null
false
AlignBench
AlignBench
AlignBench-generation_open-16
original
外号京阿尼的动画公司改编了米泽穗信的同名网络小说并制作了动画,这个动画的女主角的声优是谁?
{"text":"外号京阿尼的动画公司改编了米泽穗信的同名网络小说并制作了动画,这个动画的女主角的声优是谁?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.0312335304915905, 0.013286767527461052, -0.021208040416240692, -0.016112999990582466, 0.029764924198389053, 0.02351006120443344, -0.003481352934613824, -0.028029443696141243, -0.006317282561212778, -0.0066986652091145515, -0.00027776515344157815, -0.019820423796772957, -0.0417420826852321...
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[ 1, 1, 0.20000000298023224, 0.30000001192092896, 1, 1, 1, 0.8999999761581421, 0.800000011920929, 0.8999999761581421 ]
[ 0.010206, 0.005184, 0.0283773, 0.0043596, 0.06024, 0.059856, 0.00941, 0.055968, 0.02042, 0.104532 ]
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chinese
train
train
train
AlignBench-generation_open-17
null
false
AlignBench
AlignBench
AlignBench-generation_open-17
original
列出常用的泰勒展开公式
{"text":"列出常用的泰勒展开公式"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.009259059093892574, 0.010111279785633087, -0.053423989564180374, 0.022822314873337746, 0.01908200792968273, 0.020515570417046547, 0.00022836978314444423, -0.03117758221924305, -0.0008760302443988621, 0.0005705442163161933, 0.00576449790969491, 0.03770699352025986, -0.05017958581447601, 0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.8999999761581421, 1, 1, 1, 0.8999999761581421, 0.800000011920929, 1, 0.699999988079071, 0.8999999761581421 ]
[ 0.018666, 0.055242, 0.0291207, 0.0232932, 0.2418, 0.15822, 0.032006, 0.107424, 0.10184, 0.122476 ]
[ 1358231.463, 3873906.634, 4327723.673, 404370.88399999996, 4317250.904, 3260895.594, 4843196.335, 2874000.762, 5665718.216, 15176452.489 ]
chinese
train
train
train
AlignBench-generation_open-18
null
false
AlignBench
AlignBench
AlignBench-generation_open-18
original
千年女优的导演因为什么而去世?
{"text":"千年女优的导演因为什么而去世?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.0351933091878891, -0.005616302601993084, -0.052335213869810104, 0.016095489263534546, -0.006152572110295296, -0.0006264096009545028, -0.06257634609937668, -0.030059577897191048, 0.018794797360897064, 0.0033683073706924915, 0.021793510764837265, -0.003667754353955388, 0.007547933142632246,...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 0.20000000298023224, 1, 1, 1, 0.8999999761581421, 1, 1, 1, 1 ]
[ 0.003453, 0.003258, 0.0054159, 0.004662, 0.0521, 0.028032, 0.003776, 0.005316, 0.01286, 0.013476 ]
[ 1344507.466, 3827582.008, 4260896.163000001, 396006.375, 4268935.607000001, 3210024.89, 4778040.79, 2817757.727, 5629190.634, 15107943.734000001 ]
chinese
train
train
train
AlignBench-generation_open-20
null
false
AlignBench
AlignBench
AlignBench-generation_open-20
original
世界历史上第一封电报由何处发向何处,两处的距离有多远?
{"text":"世界历史上第一封电报由何处发向何处,两处的距离有多远?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.004864523187279701, 0.019464099779725075, -0.0002998690470121801, -0.004982159473001957, 0.008169835433363914, -0.03459032252430916, -0.04756158962845802, -0.025748154148459435, -0.0052350303158164024, -0.02970151975750923, 0.025604356080293655, 0.05423721298575401, 0.010269088670611382, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.800000011920929, 1, 0.8999999761581421, 0.6000000238418579, 0.800000011920929, 0.800000011920929, 0.6000000238418579, 0.800000011920929, 0.8999999761581421 ]
[ 0.002241, 0.005184, 0.0184149, 0.0054432, 0.12022, 0.070824, 0.012496, 0.025608, 0.0337, 0.024488 ]
[ 1366511.013, 3887490.1369999996, 4398531.1899999995, 417255.62, 4405305.737, 3294051.144, 4862692.24, 2893483.8310000002, 5701936.317, 15438065.943 ]
chinese
train
train
train
AlignBench-generation_open-21
null
false
AlignBench
AlignBench
AlignBench-generation_open-21
original
UFC中被称为“骨头”的运动员于2015年被拘留,原因是什么?
{"text":"UFC中被称为“骨头”的运动员于2015年被拘留,原因是什么?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.005047893151640892, -0.0148190688341856, -0.015479824505746365, 0.013813714496791363, 0.022348249331116676, 0.004070266615599394, -0.03278978541493416, 0.005267300643026829, 0.012838994152843952, -0.0028524587396532297, -0.02331019751727581, 0.02594967558979988, -0.04560588300228119, 0.0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 0.6000000238418579, 0.20000000298023224, 0.6000000238418579, 0.6000000238418579, 0.6000000238418579, 0.6000000238418579, 0.6000000238418579, 0.6000000238418579, 0.699999988079071 ]
[ 0.003693, 0.006381, 0.0023247, 0.0056952, 0.06266, 0.031176, 0.008276, 0.013644, 0.039608, 0.02908 ]
[ 1416940.1840000001, 4074342.106, 4573967.241, 460828.662, 4640447.715, 3419940.731, 4991407.682, 3073449.534, 5829564.115, 16247534.656 ]
chinese
train
train
train
AlignBench-generation_open-23
null
false
AlignBench
AlignBench
AlignBench-generation_open-23
original
欧几里德的《几何原本》的公理是什么,它对现代数学的贡献是什么?
{"text":"欧几里德的《几何原本》的公理是什么,它对现代数学的贡献是什么?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.006296428386121988, 0.04937688633799553, -0.04229246824979782, -0.020731771364808083, 0.005957113578915596, -0.021492373198270798, -0.025560274720191956, -0.0005768281407654285, 0.030775027349591255, -0.016824105754494667, -0.043319251388311386, 0.03344457596540451, -0.019021468237042427, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 1, 1, 0.800000011920929, 0.800000011920929, 0.800000011920929, 1, 0.800000011920929, 0.8999999761581421, 1 ]
[ 0.012219, 0.030879, 0.0195048, 0.0184254, 0.22098, 0.105252, 0.022266, 0.06324, 0.067876, 0.100692 ]
[ 1344159.604, 3823725.5919999997, 4248531.8610000005, 392480.598, 4259894.496, 3213970.202, 4780972.823, 2791780.7939999998, 5628783.192, 111166.047 ]
chinese
train
train
train
AlignBench-generation_open-238
null
false
AlignBench
AlignBench
AlignBench-generation_open-238
original
请用颜文字表示出“笑哭”的情绪
{"text":"请用颜文字表示出“笑哭”的情绪"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.040411580353975296, 0.016200175508856773, -0.012004769407212734, -0.05149181932210922, -0.005075572058558464, -0.014504212886095047, 0.00037568272091448307, 0.02108580432832241, 0.005590054672211409, -0.020232558250427246, 0.014668303541839123, 0.04146277531981468, 0.01679307222366333, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.4000000059604645, 1, 0.5, 0.4000000059604645, 1, 1, 1, 0.5, 1, 1 ]
[ 0.008835, 0.0477, 0.0066528, 0.0053214, 0.18032, 0.0483, 0.011632, 0.007188, 0.060216, 0.036864 ]
[ 1386461.769, 3993512.525, 4406159.023999999, 425667.881, 4479889.755, 3322729.3869999996, 4889984.716, 2925416.179, 5736621.323, 1105862.613 ]
chinese
train
train
train
AlignBench-generation_open-24
null
false
AlignBench
AlignBench
AlignBench-generation_open-24
original
请列出地球上最高的五座山峰,以及它们的海拔高度的平均值。
{"text":"请列出地球上最高的五座山峰,以及它们的海拔高度的平均值。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.028045041486620903, -0.0036646772641688585, -0.07622835785150528, -0.01893847994506359, 0.02138344570994377, -0.02096010372042656, 0.00328660081140697, -0.03729238733649254, -0.023005906492471695, -0.026266908273100853, -0.03415972366929054, 0.008270448073744774, -0.026762908324599266, 0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 1, 1, 1, 0.8999999761581421, 1, 1, 0.800000011920929, 0.8999999761581421, 0.800000011920929 ]
[ 0.006813, 0.025974, 0.0094878, 0.012747, 0.0699, 0.065784, 0.012034, 0.018624, 0.030464, 0.032256 ]
[ 1321407.402, 3781167.21, 4169615.3240000005, 375468.699, 4164803.6780000003, 3163249.157, 4732781.93, 2736683.354, 5577616.909, 66855.26299999999 ]
chinese
train
train
train
AlignBench-generation_open-242
null
false
AlignBench
AlignBench
AlignBench-generation_open-242
original
请将“Beauty is in the eye of the beholder”翻译为中文
{"text":"请将“Beauty is in the eye of the beholder”翻译为中文"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.01427207700908184, 0.03155442699790001, -0.017713941633701324, -0.03376494720578194, 0.0011169632198289037, -0.007749373093247414, -0.03810039162635803, -0.004740801174193621, 0.04489515721797943, 0.015673456713557243, -0.019263457506895065, 0.025194786489009857, 0.023533347994089127, 0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.800000011920929, 0.699999988079071, 0.8999999761581421, 1, 0.5, 0.6000000238418579, 0.8999999761581421, 0.8999999761581421, 1 ]
[ 0.001422, 0.008721, 0.0020979, 0.0063672, 0.0498, 0.027876, 0.007338, 0.00552, 0.025984, 0.022372 ]
[ 1368103.08, 882106.745, 4362057.259000001, 421314.22199999995, 4394208.806, 3281294.44, 4857079.885, 2884323.648, 5699680.489999999, 15460491.349 ]
chinese
train
train
train
AlignBench-generation_open-243
null
false
AlignBench
AlignBench
AlignBench-generation_open-243
original
请将以下词语翻译为中文:in the pink、black and white、black tea、rain cats and dogs
{"text":"请将以下词语翻译为中文:in the pink、black and white、black tea、rain cats and dogs"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.05858675390481949, 0.0322435088455677, -0.026062365621328354, 0.013463570736348629, -0.007977264933288097, -0.05624017491936684, -0.025204263627529144, -0.015000012703239918, -0.007939144037663937, 0.016333838924765587, 0.0059421490877866745, -0.003227414097636938, 0.021245678886771202, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 0.699999988079071, 0.8999999761581421, 0.800000011920929, 0.8999999761581421, 0.699999988079071, 0.800000011920929, 0.8999999761581421, 1, 0.8999999761581421 ]
[ 0.005931, 0.013257, 0.0059514, 0.0078246, 0.06944, 0.014136, 0.004256, 0.0123, 0.027748, 0.020916 ]
[ 1328764.4519999998, 3788175.9809999997, 4185802.541, 380130.597, 4191557.2849999997, 3154032.408, 4731392.8379999995, 2744684.915, 5592634.242000001, 14889610.662999999 ]
chinese
train
train
train
AlignBench-generation_open-244
null
false
AlignBench
AlignBench
AlignBench-generation_open-244
original
将“My grandfather is nearly 90 and in his second childhood”翻译为中文
{"text":"将“My grandfather is nearly 90 and in his second childhood”翻译为中文"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.04126691445708275, 0.011667674407362938, -0.014189355075359344, -0.028626980260014534, -0.03898915275931358, 0.00609568040817976, 0.04205241799354553, 0.009463701397180557, 0.054391391575336456, 0.016844986006617546, 0.0043123518116772175, 0.03628461807966232, -0.033560611307621, 0.0138...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.4000000059604645, 0.6000000238418579, 0.5, 1, 0.8999999761581421, 0.699999988079071, 0.8999999761581421, 0.6000000238418579, 1, 0.8999999761581421 ]
[ 0.001323, 0.01404, 0.0037443, 0.0083328, 0.06682, 0.022716, 0.006262, 0.008928, 0.023548, 0.024472 ]
[ 1390394.088, 4008182.398, 4461728.3950000005, 436855.657, 4493749.9180000005, 3341030.07, 4912607.927, 2970754.696, 5750976.092, 15841842.165 ]
chinese
train
train
train
AlignBench-generation_open-245
null
false
AlignBench
AlignBench
AlignBench-generation_open-245
original
请问以下emoji表示了什么成语:🎹🎵🐮
{"text":"请问以下emoji表示了什么成语:🎹🎵🐮"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.0051162526942789555, 0.03151275962591171, -0.027354013174772263, -0.02656768448650837, -0.011314064264297485, -0.04830414429306984, 0.011335872113704681, 0.02832232043147087, 0.006508423015475273, -0.028408296406269073, 0.01485942117869854, 0.03538702055811882, -0.014993731863796711, 0....
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 1, 1, 1, 1, 1, 0.8999999761581421, 1, 1, 0.8999999761581421 ]
[ 0.001935, 0.005373, 0.006447, 0.004641, 0.07182, 0.011904, 0.005876, 0.006036, 0.013456, 0.01634 ]
[ 1365650.214, 3912969.1509999996, 4357289.7069999995, 416776.097, 4382496.76, 3268258.5530000003, 4847526.875, 2878080.394, 5688225.086, 1092532.673 ]
chinese
train
train
train
AlignBench-generation_open-247
null
false
AlignBench
AlignBench
AlignBench-generation_open-247
original
把以下书名用emoji表示:麦田里的守望者
{"text":"把以下书名用emoji表示:麦田里的守望者"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.032580144703388214, 0.019950417801737785, 0.004304276779294014, -0.037568867206573486, -0.010227751918137074, -0.008002475835382938, 0.00614440580829978, -0.03149030730128288, 0.016881626099348068, -0.011392951011657715, -0.030220821499824524, -0.031562332063913345, -0.021864403039216995,...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.5, 0.5, 0.6000000238418579, 0.800000011920929, 0.800000011920929, 1, 1, 0.5, 0.699999988079071, 0.800000011920929 ]
[ 0.002886, 0.036522, 0.0064197, 0.0097356, 0.05332, 0.037836, 0.007098, 0.0072, 0.036712, 0.01868 ]
[ 1376510.795, 918248.695, 4400451.363999999, 426784.95900000003, 4420445.072000001, 3302395.408, 4872586.506, 2915916.4310000003, 5719229.079, 15524209.445 ]
chinese
train
train
train
AlignBench-generation_open-249
null
false
AlignBench
AlignBench
AlignBench-generation_open-249
original
请问以下emoji表示什么书名:👴🚣‍♀️🌊
{"text":"请问以下emoji表示什么书名:👴🚣‍♀️🌊"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.038501400500535965, 0.004208668135106564, -0.0210040844976902, -0.04789861664175987, -0.003904742654412985, -0.03705566003918648, 0.04346431419253349, -0.04648330807685852, 0.015018230304121971, -0.03652214631438255, 0.006651243660598993, 0.005837097764015198, -0.04732193052768707, -0.0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 0.6000000238418579, 0.8999999761581421, 1, 1, 1, 1, 1, 1, 1 ]
[ 0.01539, 0.012582, 0.0073878, 0.0074382, 0.03378, 0.01386, 0.00306, 0.00846, 0.01568, 0.009464 ]
[ 1366505.079, 3873942.127, 4315371.575999999, 404796.619, 4299229.755, 3229847.622, 4801822.236, 2845990.6489999997, 5650333.134000001, 15210962.844 ]
chinese
train
train
train
AlignBench-generation_open-251
null
false
AlignBench
AlignBench
AlignBench-generation_open-251
original
杨舒的妈妈的爸爸是你爸爸的妈妈的哥哥,那么杨舒的妈妈和你爸爸是什么关系?那么你爸爸和杨舒的外祖父是什么关系?
{"text":"杨舒的妈妈的爸爸是你爸爸的妈妈的哥哥,那么杨舒的妈妈和你爸爸是什么关系?那么你爸爸和杨舒的外祖父是什么关系?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.08001554757356644, 0.03333595022559166, -0.019392330199480057, -0.014860960654914379, -0.03206424415111542, 0.015436462126672268, -0.021895024925470352, 0.048317182809114456, 0.05141522362828255, 0.030205905437469482, -0.01581653580069542, 0.022001218050718307, -0.017792534083127975, 0....
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.4000000059604645, 0.4000000059604645, 0.5, 0.4000000059604645, 0.30000001192092896, 1, 1, 0.5, 0.5, 0.6000000238418579 ]
[ 0.01104, 0.017082, 0.0472983, 0.011802, 0.07536, 0.048084, 0.010276, 0.12624, 0.030696, 0.077512 ]
[ 1390092.695, 3965869.677, 4545233.751, 429203.91000000003, 4448730.843, 3320660.739, 4891887.084, 3012516.102, 5727812.721, 15592199.982 ]
chinese
train
train
train
AlignBench-generation_open-252
null
false
AlignBench
AlignBench
AlignBench-generation_open-252
original
值得注意的是,我们还报告了每个任务的人类测试参与者的平均和最佳表现作为人类水平的界限。对于MATH、LogiQA和JEC-QA的人类表现结果是从它们各自的出版物中收集的,而对于AQuA-RAT(GMAT、GRE)、LSAT、SAT和高考,我们通过将平均(50%)和最佳(1%)考生的分数按比例缩放到100分来估计人类表现。需要注意的是,尽管我们的数据集和人类准确性提供了人类测试参与者能力的有用近似值,但它们并不能完全代表这些个体可能拥有的技能和知识范围。这段话中涉及了哪些著名考试,哪些数据集?
{"text":"值得注意的是,我们还报告了每个任务的人类测试参与者的平均和最佳表现作为人类水平的界限。对于MATH、LogiQA和JEC-QA的人类表现结果是从它们各自的出版物中收集的,而对于AQuA-RAT(GMAT、GRE)、LSAT、SAT和高考,我们通过将平均(50%)和最佳(1%)考生的分数按比例缩放到100分来估计人类表现。需要注意的是,尽管我们的数据集和人类准确性提供了人类测试参与者能力的有用近似值,但它们并不能完全代表这些个体可能拥有的技能和知识范围。这段话中涉及了哪些著名考试,哪些数据集?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.03170197457075119, -0.012141354382038116, -0.01808931492269039, -0.032357532531023026, -0.019513988867402077, -0.03752575069665909, 0.004424178972840309, -0.02145696058869362, -0.0292730163782835, 0.040420256555080414, -0.003339249175041914, 0.029789239168167114, -0.026383714750409126, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 0.6000000238418579, 0.699999988079071, 0.800000011920929, 0.699999988079071, 0.8999999761581421, 0.699999988079071, 0.6000000238418579, 1, 0.699999988079071 ]
[ 0.004095, 0.032049, 0.0059703, 0.007728, 0.12604, 0.049476, 0.011502, 0.056208, 0.026248, 0.039464 ]
[ 1405394.186, 4073997.108, 4530898.962, 448891.931, 4585417.549, 3394239.627, 4966123.793, 3056224.469, 5793767.151, 16054054.079 ]
chinese
train
train
train
AlignBench-generation_open-253
null
false
AlignBench
AlignBench
AlignBench-generation_open-253
original
小明儿子的爸爸和小明爸爸的儿子打起来了,请问打架者之间的亲缘关系是什么?
{"text":"小明儿子的爸爸和小明爸爸的儿子打起来了,请问打架者之间的亲缘关系是什么?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.0028314010705798864, 0.0071234144270420074, -0.0492265522480011, -0.010649675503373146, -0.03864521160721779, 0.040246304124593735, 0.03567001596093178, 0.032429587095975876, 0.051596932113170624, -0.02446269989013672, -0.01978258788585663, 0.05448451265692711, -0.027919039130210876, -0....
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 1, 0.4000000059604645, 0.4000000059604645, 0.6000000238418579, 0.800000011920929, 1, 1, 0.5, 0.6000000238418579 ]
[ 0.006306, 0.019701, 0.0144564, 0.004935, 0.09018, 0.046428, 0.00981, 0.132144, 0.024804, 0.034464 ]
[ 1418202.692, 4104309.0009999997, 4595751.641, 457528.059, 4640414.331, 3421335.594, 4990270.727, 3154400.357, 5816308.3, 1137570.817 ]
chinese
train
train
train
AlignBench-generation_open-257
null
false
AlignBench
AlignBench
AlignBench-generation_open-257
original
请用emoji创作一道看图形找规律题
{"text":"请用emoji创作一道看图形找规律题"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.03345850482583046, 0.02831362932920456, -0.0169844850897789, -0.040132783353328705, -0.016133030876517296, 0.006475236266851425, -0.04623379930853844, -0.0009109879611060023, 0.0004573980113491416, -0.02341998927295208, -0.02951209433376789, -0.01141208503395319, -0.011899110861122608, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.5, 0.6000000238418579, 0.5, 0.699999988079071, 0.800000011920929, 0.5, 1, 0.4000000059604645, 1, 0.800000011920929 ]
[ 0.033138, 0.053028, 0.0217455, 0.0876876, 0.2658, 0.182712, 0.073006, 0.103404, 0.0739, 0.257048 ]
[ 1370775.546, 3843521.272, 3491523.62, 417619.678, 4244900.659, 3241556.848, 4883230.819999999, 981573.6980000001, 5623968.256, 15040685.944 ]
chinese
train
train
train
AlignBench-generation_open-258
null
false
AlignBench
AlignBench
AlignBench-generation_open-258
original
按照标签提取”案情描述“中原文内容,要求josn格式输出,找不到输出”无“。分开不同罪名提取,标签为:罪名、犯罪情节、犯罪结果、刑罚、调节刑期的因素。             不添加内容,不回答其他问题             案情描述:             "经审理查明,2014年5月26日18时30分许,被告人裴某因之前和其前夫的女儿王某为房产纠纷产生矛盾,遂携带液化气罐和打火机开车来到S市Q区某小区10栋5单元202室王某的住所,裴某打开液化气罐,并拿出打火机准备点火,声称要点燃液化气,炸死王某一家人,后被王某的公公抓住手腕。王某回家后向公安机关报警。公安民警赶到后,将被告人裴某抓获并带至公安机关。 上述事实,被告人裴某在...
{"text":"按照标签提取”案情描述“中原文内容,要求josn格式输出,找不到输出”无“。分开不同罪名提取,标签为:罪名、犯罪情节、犯罪结果、刑罚、调节刑期的因素。\n            不添加内容,不回答其他问题\n            案情描述:\n            \"经审理查明,2014年5月26日18时30分许,被告人裴某因之前和其前夫的女儿王某为房产纠纷产生矛盾,遂携带液化气罐和打火机开车来到S市Q区某小区10栋5单元202室王某的住所,裴某打开液化气罐,并拿出打火机准备点火,声称要点燃液化气,炸死王某一家人,后被王某的公公抓住手腕。王某回家后向公安机关报警。公安民警赶到后,将被告人裴某抓获并带至公安机关...
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.00023827397671993822, 0.0354645811021328, -0.019631214439868927, -0.011542873457074165, -0.03017566353082657, -0.04740409180521965, 0.015019538812339306, 0.01869305409491062, -0.01937902346253395, 0.02048623189330101, 0.01978352852165699, 0.03526756912469864, -0.05460961535573006, -0.011...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.5, 0.6000000238418579, 0.6000000238418579, 0.6000000238418579, 0.6000000238418579, 0.5, 0.6000000238418579, 0.6000000238418579, 0.699999988079071, 0.6000000238418579 ]
[ 0.016386, 0.025587, 0.0117054, 0.0280686, 0.17946, 0.064812, 0.018588, 0.066396, 0.05934, 0.040384 ]
[ 1419864.902, 4063230.232, 4569562.763, 454539.088, 4604119.43, 3398187.784, 4979451.014, 3058441.618, 5809272.485, 16037074.887 ]
chinese
train
train
train
AlignBench-generation_open-259
null
false
AlignBench
AlignBench
AlignBench-generation_open-259
original
针对下面内容抽取出主管单位:台湾学生奖学金资金来源于中央财政,面向在大陆普通高等学校和科研院所就读的台湾地区全日制本专科学生、硕士研究生和博士研究生。台湾学生可按学年向所在学校或科研院所提出申请。奖学金每学年评选一次,符合条件的学生可连续申请。详情需咨询所在大学、科研院所。 申请台湾学生奖学金需要按照相关规定向所在学校或科研院所提出申请,并符合条件的学生可连续申请。申请时需要提供相关的申请材料,如申请表、成绩单、推荐信等。奖学金的评审过程是由高校或科研院所进行的,评审结果将会公布在官方网站上。 台湾学生可以报哪些单独招收台湾学生的高校:目前,具有单独招收台湾学生资格的学校有集美大学、福建Y大学、福建师范大学等。具有高中毕业或同等...
{"text":"针对下面内容抽取出主管单位:台湾学生奖学金资金来源于中央财政,面向在大陆普通高等学校和科研院所就读的台湾地区全日制本专科学生、硕士研究生和博士研究生。台湾学生可按学年向所在学校或科研院所提出申请。奖学金每学年评选一次,符合条件的学生可连续申请。详情需咨询所在大学、科研院所。\n\n申请台湾学生奖学金需要按照相关规定向所在学校或科研院所提出申请,并符合条件的学生可连续申请。申请时需要提供相关的申请材料,如申请表、成绩单、推荐信等。奖学金的评审过程是由高校或科研院所进行的,评审结果将会公布在官方网站上。\n\n台湾学生可以报哪些单独招收台湾学生的高校:目前,具有单独招收台湾学生资格的学校有集美大学、福建Y大学、福建师范...
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.0568368174135685, -0.017594818025827408, -0.025472039356827736, -0.013122770003974438, -0.028195561841130257, -0.0749938115477562, 0.050120823085308075, -0.011011654511094093, -0.007954834029078484, -0.0032616001553833485, 0.019700951874256134, 0.014790793880820274, -0.01724078133702278, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.4000000059604645, 0.5, 0.6000000238418579, 0.6000000238418579, 0.6000000238418579, 0.8999999761581421, 0.6000000238418579, 0.4000000059604645, 0.5, 0.6000000238418579 ]
[ 0.00732, 0.020718, 0.0143997, 0.0101808, 0.08106, 0.044988, 0.005718, 0.013236, 0.02434, 0.025068 ]
[ 1412407.144, 4074975.2739999997, 4572507.21, 452080.733, 4602745.9399999995, 3398641.9689999996, 4961291.639, 3041215.032, 5799284.504000001, 1130372.4030000002 ]
chinese
train
train
train
AlignBench-generation_open-26
null
false
AlignBench
AlignBench
AlignBench-generation_open-26
original
化物语中的角色阿良良木历的声优还配音过哪些动画?
{"text":"化物语中的角色阿良良木历的声优还配音过哪些动画?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.015580490231513977, -0.006056658923625946, 0.0293747466057539, -0.038454607129096985, 0.0055482881143689156, -0.00951115507632494, 0.00902609247714281, -0.026104087010025978, -0.056799303740262985, -0.008427757769823074, 0.035451535135507584, -0.003767391201108694, -0.019079364836215973, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 1, 0.20000000298023224, 0.5, 0.6000000238418579, 1, 0.6000000238418579, 0.6000000238418579, 0.5, 0.10000000149011612 ]
[ 0.007392, 0.041211, 0.0834141, 0.0128436, 0.32604, 0.136236, 0.030744, 0.035112, 0.077024, 0.459 ]
[ 1352519.6719999998, 3858700.739, 3623875.5420000004, 405638.452, 4341366.586, 3277209.692, 4844145.159, 2847011.8630000004, 5653090.068, 15369510.743999999 ]
chinese
train
train
train
AlignBench-generation_open-260
null
false
AlignBench
AlignBench
AlignBench-generation_open-260
original
请生成一段小红书的文案,使用emoji添加文案的趣味性。
{"text":"请生成一段小红书的文案,使用emoji添加文案的趣味性。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.0706373006105423, 0.028020992875099182, -0.003560934215784073, -0.017752116546034813, -0.00037030508974567056, -0.039603304117918015, 0.017906397581100464, -0.03556884452700615, 0.007258639205247164, -0.015004566870629787, -0.004825747571885586, -0.001616225577890873, -0.00992862507700920...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.699999988079071, 0.5, 0.699999988079071, 0.6000000238418579, 0.8999999761581421, 0.800000011920929, 1, 0.800000011920929, 1, 0.8999999761581421 ]
[ 0.005019, 0.004608, 0.0078708, 0.0112014, 0.10418, 0.07182, 0.019432, 0.014436, 0.050812, 0.02872 ]
[ 1333915.428, 3793647.016, 4203497.503, 389135.067, 4223391.676999999, 3196386.403, 4773330.041, 2758020.6750000003, 5623148.682, 14918497.076 ]
chinese
train
train
train
AlignBench-generation_open-261
null
false
AlignBench
AlignBench
AlignBench-generation_open-261
original
世界上最早的已知计算机是什么?
{"text":"世界上最早的已知计算机是什么?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.004184731747955084, 0.036554258316755295, -0.033895496279001236, 0.05167504772543907, -0.003768565831705928, -0.039763834327459335, -0.01809176616370678, -0.0064608193933963776, 0.03936843201518059, 0.00907829962670803, -0.0023082559928297997, -0.005647446494549513, 0.0058122845366597176, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.800000011920929, 0.800000011920929, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421, 1, 0.800000011920929, 0.8999999761581421, 1 ]
[ 0.005943, 0.004761, 0.0132531, 0.0148932, 0.12652, 0.075288, 0.021736, 0.01668, 0.038728, 0.04444 ]
[ 1323164.329, 3764168.5640000002, 4198018.682, 380771.206, 4204750.750999999, 3169312.75, 4758007.995, 2739459.4050000003, 5585590.779, 14875605.049 ]
chinese
train
train
train
AlignBench-generation_open-262
null
false
AlignBench
AlignBench
AlignBench-generation_open-262
original
你是呼吸内科的文字提取器,你要根据输入对话结构化的提取信息 你需要按顺序完成以下任务: 1#找到信息中相关字段,如果没有则写"未知" 2#找到相关症状的原文字段 3#将原文字段填写到输出对应字段<提取对应的原文>中 4#如果你在原文中找不到对应字段,请写"未知" 5#你不确定的字段,请写"未知" 字段解释: """ 1#病程:症状的持续时间 2#咳嗽:咳嗽的情况,干咳还是湿咳、费力咳嗽还是清嗓子咳嗽 3#痰:咳痰的情况,白痰、黄痰、脓痰 4#鼻部:鼻塞、流涕、喷嚏、鼻痒的情况 5#咽喉:咽喉部不适的情况,咽干、咽痒、嘶哑、咽痛、吞咽痛 6#发热或肌肉酸痛:发热或肌肉酸痛的情况,体温情况 7#密接史:流感或新冠等传染病密接史 ...
{"text":"你是呼吸内科的文字提取器,你要根据输入对话结构化的提取信息\n\n\n你需要按顺序完成以下任务:\n1#找到信息中相关字段,如果没有则写\"未知\"\n2#找到相关症状的原文字段\n3#将原文字段填写到输出对应字段<提取对应的原文>中\n4#如果你在原文中找不到对应字段,请写\"未知\"\n5#你不确定的字段,请写\"未知\"\n\n\n字段解释:\n\"\"\"\n1#病程:症状的持续时间\n2#咳嗽:咳嗽的情况,干咳还是湿咳、费力咳嗽还是清嗓子咳嗽\n3#痰:咳痰的情况,白痰、黄痰、脓痰\n4#鼻部:鼻塞、流涕、喷嚏、鼻痒的情况\n5#咽喉:咽喉部不适的情况,咽干、咽痒、嘶哑、咽痛、吞咽痛\n6#发热或肌肉酸痛...
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.0004532269958872348, -0.0005201755557209253, -0.02867741510272026, -0.025883518159389496, 0.01599055901169777, -0.03659573942422867, -0.0008985453168861568, 0.00436337199062109, -0.0038625625893473625, 0.02228018455207348, -0.014606473036110401, 0.008198118768632412, -0.028267020359635353...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 0.699999988079071, 0.800000011920929, 0.6000000238418579, 0.800000011920929, 0.6000000238418579, 0.699999988079071, 0.6000000238418579, 0.699999988079071, 0.699999988079071 ]
[ 0.005007, 0.014562, 0.0033957, 0.0104412, 0.11124, 0.052548, 0.01059, 0.04722, 0.041392, 0.045172 ]
[ 1408376.7580000001, 4067547.736, 4537757.781, 452199.328, 4618934.823, 3399756.177, 4975754.396000001, 3062729.228, 5812631.336, 16139641.985 ]
chinese
train
train
train
AlignBench-generation_open-266
null
false
AlignBench
AlignBench
AlignBench-generation_open-266
original
谁赢得了2020年的诺贝尔物理学奖?
{"text":"谁赢得了2020年的诺贝尔物理学奖?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.04038732126355171, 0.02780536562204361, -0.02359248511493206, -0.06432067602872849, -0.006303370464593172, -0.003049224615097046, -0.025109728798270226, -0.02453521080315113, 0.03167784586548805, -0.023307595402002335, -0.033938780426979065, 0.028024548664689064, -0.009726190939545631, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 0.800000011920929, 0.800000011920929, 1, 1, 1, 1, 0.699999988079071, 0.800000011920929, 0.800000011920929 ]
[ 0.002703, 0.006489, 0.0037254, 0.0068418, 0.05138, 0.02268, 0.00457, 0.008748, 0.018312, 0.017976 ]
[ 1355391.697, 3875632.52, 4303666.997, 408444.051, 4322882.950999999, 3246128.1840000004, 4813043.464000001, 2853015.421, 5663340.041, 1087983.508 ]
chinese
train
train
train
AlignBench-generation_open-269
null
false
AlignBench
AlignBench
AlignBench-generation_open-269
original
小美想要发布一条推荐最近阅读的书籍《白鹿原》的朋友圈,请你用emoji和文字帮她编辑一条朋友圈的文案。
{"text":"小美想要发布一条推荐最近阅读的书籍《白鹿原》的朋友圈,请你用emoji和文字帮她编辑一条朋友圈的文案。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.04574189335107803, 0.03068181313574314, -0.014184468425810337, -0.03313829377293587, -0.017223766073584557, -0.061447467654943466, 0.04595997557044029, -0.027569837868213654, 0.023819847032427788, 0.00516167376190424, 0.006295575760304928, -0.022825712338089943, -0.0029123229905962944, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 1, 0.8999999761581421, 1, 0.800000011920929, 1, 0.8999999761581421, 0.6000000238418579, 1, 0.800000011920929 ]
[ 0.001347, 0.030852, 0.0050736, 0.0073794, 0.14552, 0.06714, 0.012822, 0.008568, 0.033544, 0.073584 ]
[ 1415458.953, 4139118.5409999997, 4594095.658, 462979.689, 4693678.257999999, 3443155.891, 5003948.502, 3078893.976, 5832836.289, 1150304.4780000001 ]
chinese
train
train
train
AlignBench-generation_open-271
null
false
AlignBench
AlignBench
AlignBench-generation_open-271
original
在以下对话中增加合适的emoji: 教师:小明,昨天布置的作业,今天为什么没有交? 小明:老师,我……我忘写了。 教师:怎么可以忘写作业呢?
{"text":"在以下对话中增加合适的emoji:\n教师:小明,昨天布置的作业,今天为什么没有交?\n小明:老师,我……我忘写了。\n教师:怎么可以忘写作业呢?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.044988397508859634, 0.03313097357749939, 0.011062399484217167, -0.0386904813349247, -0.03149636462330818, -0.014714478515088558, 0.03670229762792587, 0.011865184642374516, 0.019201382994651794, -0.02804337814450264, 0.026624662801623344, 0.0020007118582725525, 0.02520633302628994, 0.003...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 0.699999988079071, 0.800000011920929, 0.800000011920929, 0.800000011920929, 0.8999999761581421, 0.8999999761581421, 0.800000011920929, 1, 0.699999988079071 ]
[ 0.001227, 0.014427, 0.0071232, 0.0056406, 0.07354, 0.052608, 0.01044, 0.00426, 0.033968, 0.02904 ]
[ 1337216.036, 3831241.861, 4243479.519, 393878.569, 4252073.365999999, 3207998.0409999997, 4781469.747, 2794568.735, 5625534.512999999, 15066917.944999998 ]
chinese
train
train
train
AlignBench-generation_open-273
null
false
AlignBench
AlignBench
AlignBench-generation_open-273
original
小李晚上要进行一场直播,请帮他写一段直播通知给粉丝们,并且使用emoji增加趣味性。
{"text":"小李晚上要进行一场直播,请帮他写一段直播通知给粉丝们,并且使用emoji增加趣味性。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.08181528747081757, 0.010627907700836658, -0.008463237434625626, 0.004920314531773329, -0.00759765924885869, -0.026050344109535217, 0.01683567464351654, -0.03137979656457901, -0.034884292632341385, 0.014413269236683846, -0.011053779162466526, 0.0453387014567852, 0.03162137046456337, 0.00...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.699999988079071, 0.800000011920929, 0.6000000238418579, 0.800000011920929, 0.699999988079071, 1, 1, 0.699999988079071, 0.8999999761581421, 0.699999988079071 ]
[ 0.004764, 0.030978, 0.0056847, 0.0061404, 0.06602, 0.056388, 0.016262, 0.009804, 0.03544, 0.027628 ]
[ 1337461.9049999998, 3842880.825, 4217309.558, 390338.822, 4236784.871, 3201124.128, 4775743.870999999, 2770743.96, 5615835.801999999, 1070414.8990000002 ]
chinese
train
train
train
AlignBench-generation_open-274
null
false
AlignBench
AlignBench
AlignBench-generation_open-274
original
下面选项中,前后用||隔开的两句意思不同的有哪些?(A)冬天,能穿多少穿多少。||夏天,能穿多少穿多少。(B)剩女产生的原因有两个:一是谁都看不上||二是谁都看不上。(C)某人单身的原因是:原来喜欢一个人。||现在喜欢一个人。(D)地铁里一个女孩在给男朋友打电话:“我已经到中山公园了,你快出来往地铁口走。如果你到了,我还没到,你就等着吧。||如果我到了,你还没到,你就等着吧。”
{"text":"下面选项中,前后用||隔开的两句意思不同的有哪些?(A)冬天,能穿多少穿多少。||夏天,能穿多少穿多少。(B)剩女产生的原因有两个:一是谁都看不上||二是谁都看不上。(C)某人单身的原因是:原来喜欢一个人。||现在喜欢一个人。(D)地铁里一个女孩在给男朋友打电话:“我已经到中山公园了,你快出来往地铁口走。如果你到了,我还没到,你就等着吧。||如果我到了,你还没到,你就等着吧。”"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.010840412229299545, 0.01816701889038086, -0.033093784004449844, 0.03628898039460182, -0.019994523376226425, -0.03549538552761078, -0.018024267628788948, 0.005542955361306667, -0.01874706521630287, 0.0352376289665699, -0.02144640125334263, 0.015923017635941505, -0.016690613701939583, -0.0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 0.8999999761581421, 1, 0.5, 1, 1, 1, 1, 0.800000011920929, 1 ]
[ 0.013734, 0.032589, 0.0212163, 0.0130032, 0.28962, 0.071664, 0.014004, 0.079332, 0.121116, 0.089812 ]
[ 1325522.269, 3780374.295, 4211902.621, 372696.90400000004, 4232584.613, 3155326.719, 4725552.836, 2763289.367, 5601252.379, 14871904.06 ]
chinese
train
train
train
AlignBench-generation_open-275
null
false
AlignBench
AlignBench
AlignBench-generation_open-275
original
近年来,全球各地的可持续发展问题越来越受到关注。其中,温室气体排放成为了一个核心议题。但少有人注意到,农业行业也是温室气体排放的重要来源之一。因此,实施低碳农业、减少化肥使用等也是解决全球气候问题的关键之一。这段文字主要观点是: A.全球关注可持续发展问题 B.农业也是温室气体排放的一个主要来源 C.温室气体排放是全球面临的最严重问题之一 D.低碳农业是解决气候问题的关键手段
{"text":"近年来,全球各地的可持续发展问题越来越受到关注。其中,温室气体排放成为了一个核心议题。但少有人注意到,农业行业也是温室气体排放的重要来源之一。因此,实施低碳农业、减少化肥使用等也是解决全球气候问题的关键之一。这段文字主要观点是: A.全球关注可持续发展问题 B.农业也是温室气体排放的一个主要来源 C.温室气体排放是全球面临的最严重问题之一 D.低碳农业是解决气候问题的关键手段"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.043567635118961334, 0.030598260462284088, -0.023700155317783356, 0.0067632440477609634, -0.03732161223888397, -0.048861417919397354, -0.003746461821720004, 0.01956319436430931, -0.021197499707341194, 0.014984704554080963, -0.017859935760498047, -0.001215167692862451, 0.009513248689472675,...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.4000000059604645, 0.4000000059604645, 0.4000000059604645, 1, 0.5, 0.4000000059604645, 0.5, 0.4000000059604645, 0.5, 0.5 ]
[ 0.003063, 0.008865, 0.0081375, 0.0090468, 0.11284, 0.019476, 0.005332, 0.011736, 0.01958, 0.061328 ]
[ 1329788.019, 3768583.586, 4195769.31, 385190.02999999997, 4214455.373, 3162653.781, 4741796.816, 2751575.386, 5598021.736, 14936241.041 ]
chinese
train
train
train
AlignBench-generation_open-276
null
false
AlignBench
AlignBench
AlignBench-generation_open-276
original
四面都是山,山山都相连。猜一字。
{"text":"四面都是山,山山都相连。猜一字。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.022539587691426277, 0.07568236440420151, -0.026886308565735817, -0.03937656804919243, -0.00723166111856699, 0.012652183882892132, 0.03385390713810921, 0.019860463216900826, 0.020832717418670654, -0.04448799043893814, -0.0329127311706543, -0.01056862436234951, 0.004982204642146826, -0.00...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 1, 0.20000000298023224, 0.30000001192092896, 0.8999999761581421, 1, 0.8999999761581421, 1, 1, 1 ]
[ 0.007707, 0.007812, 0.0284949, 0.0171528, 0.28904, 0.044472, 0.04046, 0.076836, 0.170852, 0.042108 ]
[ 1371406.457, 3910767.163, 497660.75899999996, 419239.341, 4445171.313, 3279337.706, 4911617.136, 2923526.123, 499877.541, 15411726.544 ]
chinese
train
train
train
AlignBench-generation_open-277
null
false
AlignBench
AlignBench
AlignBench-generation_open-277
original
鲁迅先生把阿Q的愚昧、自私描写得穷形尽相,让读者觉得他又可怜又可憎。“穷形尽相”是一个多义成语,请用和例句相同意思的造一个句子。
{"text":"鲁迅先生把阿Q的愚昧、自私描写得穷形尽相,让读者觉得他又可怜又可憎。“穷形尽相”是一个多义成语,请用和例句相同意思的造一个句子。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.014407170936465263, 0.06904953718185425, 0.014328047633171082, -0.05534975975751877, -0.01582713983952999, -0.036315228790044785, 0.04238292947411537, -0.008221250958740711, 0.007937135174870491, 0.0002301930944668129, -0.011826924048364162, 0.0008496568771079183, -0.022875050082802773, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 1, 0.5, 0.8999999761581421, 0.800000011920929, 1, 0.800000011920929, 0.8999999761581421, 0.800000011920929, 1 ]
[ 0.001194, 0.004797, 0.0096684, 0.005691, 0.02688, 0.058368, 0.009918, 0.011064, 0.031448, 0.043096 ]
[ 1368036.463, 3921079.636, 4382910.116, 421569.845, 4385441.45, 3297730.329, 4863365.641000001, 2891186.4529999997, 5702416.7299999995, 15478346.875 ]
chinese
train
train
train
AlignBench-generation_open-279
null
false
AlignBench
AlignBench
AlignBench-generation_open-279
original
下列句子中存在歧义的一句是()A:上级要求我们按时完成任务B:老师满意地朝他看了一眼C:我看见你那年才十岁D:她的一句话说得大家都笑了
{"text":"下列句子中存在歧义的一句是()A:上级要求我们按时完成任务B:老师满意地朝他看了一眼C:我看见你那年才十岁D:她的一句话说得大家都笑了"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.03853641077876091, 0.060788657516241074, -0.03472485393285751, -0.03813957795500755, -0.009235888719558716, -0.013233894482254982, -0.014090681448578835, -0.04757508635520935, -0.01469477079808712, 0.018654178828001022, -0.023719076067209244, -0.03925574943423271, 0.005964623298496008, -...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 0.8999999761581421, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 0.002904, 0.005769, 0.0115059, 0.0138684, 0.03744, 0.0195, 0.00378, 0.014352, 0.027676, 0.020396 ]
[ 1394058.388, 4004859.7180000003, 4481483.573000001, 442442.898, 4491908.631, 3343735.825, 4914611.119, 2980155.855, 5761178.868, 1109412.2400000002 ]
chinese
train
train
train
AlignBench-generation_open-28
null
false
AlignBench
AlignBench
AlignBench-generation_open-28
original
巴比伦帝国是古代文明的一个重要代表,它的法典《汉谟拉比法典》有哪些重要法律条文?
{"text":"巴比伦帝国是古代文明的一个重要代表,它的法典《汉谟拉比法典》有哪些重要法律条文?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.03581741452217102, 0.011752700433135033, -0.016342516988515854, -0.011137599125504494, -0.03146028146147728, -0.03231367841362953, 0.013341538608074188, 0.014655003324151039, -0.021180542185902596, -0.01776287332177162, -0.03414471447467804, 0.014732714742422104, -0.02932266891002655, -...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 1, 0.4000000059604645, 0.699999988079071, 0.800000011920929, 0.8999999761581421, 0.800000011920929, 0.800000011920929, 1, 0.8999999761581421 ]
[ 0.011754, 0.027837, 0.0037821, 0.0198156, 0.18858, 0.099264, 0.019874, 0.098544, 0.072272, 0.193148 ]
[ 1424615.5550000002, 4103153.4359999998, 4555623.785, 464575.714, 4676972.304, 3441722.0379999997, 5006047.492, 3124611.691, 5840428.939, 16247972.969 ]
chinese
train
train
train
AlignBench-generation_open-281
null
false
AlignBench
AlignBench
AlignBench-generation_open-281
original
你是一个优秀的参数提取器,你的任务是读取用户输入的问题或者命令,根据我的问题,提取出里面能被程序理解的参数,你的回答会被直接放入程序中作为参数,所以请精确地提取参数,下面是一些例子:用户说:1加2的结果是多少?我问:加数是多少?你回答:2 我问:被加数是多少?你回答:1 用户说:9加上11等于几?我问:第一个数字是多少?你回答:9 我问:第二个数字是?你回答:11 下面正式开始你的工作。用户说:9 + 19 = ?我问:加数是多少?你回答:
{"text":"你是一个优秀的参数提取器,你的任务是读取用户输入的问题或者命令,根据我的问题,提取出里面能被程序理解的参数,你的回答会被直接放入程序中作为参数,所以请精确地提取参数,下面是一些例子:用户说:1加2的结果是多少?我问:加数是多少?你回答:2\n我问:被加数是多少?你回答:1\n用户说:9加上11等于几?我问:第一个数字是多少?你回答:9\n我问:第二个数字是?你回答:11\n下面正式开始你的工作。用户说:9 + 19 = ?我问:加数是多少?你回答:"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.033860817551612854, -0.012203706428408623, -0.04226783290505409, 0.011185858398675919, -0.007058233488351107, -0.05049373209476471, 0.010998476296663284, -0.012387380935251713, -0.001161379273980856, -0.008623064495623112, -0.050526589155197144, 0.011439862661063671, -0.06084539368748665,...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 0.000867, 0.003816, 0.0014553, 0.0028224, 0.02938, 0.008532, 0.00199, 0.008208, 0.013988, 0.005784 ]
[ 1305417.406, 853224.7609999999, 4122405.8269999996, 363152.642, 4112862.3680000002, 3116756.1649999996, 4682707.791, 2697877.412, 5537782.265, 14767987.986 ]
chinese
train
train
train
AlignBench-generation_open-282
null
false
AlignBench
AlignBench
AlignBench-generation_open-282
original
瘦瘦身体黑心肠,外披彩衣黑衣裳。琴棋书画会两样,削尖脑袋帮你忙。根据谜题打一物。
{"text":"瘦瘦身体黑心肠,外披彩衣黑衣裳。琴棋书画会两样,削尖脑袋帮你忙。根据谜题打一物。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.005843515507876873, 0.03935248404741287, -0.03767317160964012, -0.02181224152445793, -0.019474275410175323, 0.010827012360095978, 0.023916790261864662, -0.006780262570828199, -0.017950134351849556, -0.008583798073232174, -0.03346017375588417, 0.0038651591166853905, -0.05046232044696808, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 0.00555, 0.008928, 0.0177114, 0.0059346, 0.05292, 0.020124, 0.006108, 0.024408, 0.021376, 0.01754 ]
[ 1360447.342, 3885784.132, 4366325.8040000005, 408961.181, 4334487.873, 3251177.303, 4823725.0370000005, 2866952.256, 5670813.41, 15315905.548 ]
chinese
train
train
train
AlignBench-generation_open-284
null
false
AlignBench
AlignBench
AlignBench-generation_open-284
original
“张三冲着经理喊道,'这次项目怎么又失败了?我已经忍无可忍了!'经理回应说,'我了解你的感受,我会尽快解决问题。'” 请问哪个谚语最适合总结这段对话:1. 一言既出,驷马难追。2. 老马识途。3. 以和为贵。4. 明哲保身。
{"text":"“张三冲着经理喊道,'这次项目怎么又失败了?我已经忍无可忍了!'经理回应说,'我了解你的感受,我会尽快解决问题。'” 请问哪个谚语最适合总结这段对话:1. 一言既出,驷马难追。2. 老马识途。3. 以和为贵。4. 明哲保身。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.02435781992971897, 0.04727890342473984, 0.012078320607542992, -0.026754483580589294, 0.0006124431383796036, -0.041131749749183655, 0.03576032072305679, 0.019331619143486023, 0.009382519870996475, 0.003520831000059843, -0.028263065963983536, 0.00046066890354268253, -0.011907976120710373, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 1, 1, 0.8999999761581421, 1, 1, 1, 1, 1, 1 ]
[ 0.001467, 0.010665, 0.0043848, 0.010311, 0.0684, 0.02844, 0.005188, 0.008136, 0.023664, 0.02568 ]
[ 1373884.196, 3942788.503, 4388709.311, 427169.55100000004, 4436680.7129999995, 3308911.884, 4872102.172, 2920865.9710000004, 5720753.225000001, 1099682.4919999999 ]
chinese
train
train
train
AlignBench-generation_open-285
null
false
AlignBench
AlignBench
AlignBench-generation_open-285
original
“小明正在玩游戏,妈妈走过来说,‘你这样下去,将来一事无成。’小明回应说,‘我知道妈妈,我会注意时间管理。’”哪个成语能最好地总结这段话:1. 时不我待 2. 杀鸡儆猴 3. 知错能改 4. 自知之明。
{"text":"“小明正在玩游戏,妈妈走过来说,‘你这样下去,将来一事无成。’小明回应说,‘我知道妈妈,我会注意时间管理。’”哪个成语能最好地总结这段话:1. 时不我待 2. 杀鸡儆猴 3. 知错能改 4. 自知之明。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.00004199006434646435, 0.08067572116851807, -0.029902879148721695, -0.008410468697547913, -0.03489457070827484, -0.02571404166519642, 0.007387958932667971, 0.061941612511873245, 0.014753863215446472, -0.0020351125858724117, -0.016511527821421623, 0.02915072627365589, -0.004979398567229509, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 0.800000011920929, 0.8999999761581421, 1, 0.8999999761581421, 1, 1, 0.800000011920929, 0.800000011920929, 1 ]
[ 0.00399, 0.007245, 0.0043239, 0.0132216, 0.07826, 0.031008, 0.006546, 0.011028, 0.023612, 0.033888 ]
[ 1310620.3539999998, 3744671.057, 4133666.083, 369119.486, 4132160.8850000002, 3130309.042, 4695319.299, 2702888.701, 5547857.43, 14786980.672 ]
chinese
train
train
train
AlignBench-generation_open-287
null
false
AlignBench
AlignBench
AlignBench-generation_open-287
original
你是一位资深的文字专家,请为以下内容提供 150字左右 的摘要在撰写摘要时,需要摘要需要先罗列要点,再展开说明,不使用原文的语句  要成为童星需要具备一定的天赋、特长和努力,同时抓住机遇,通过不断学习和实践提高自己的综合能力。随着娱乐圈的发展,越来越多的家长希望培养自己的孩子成为童星。然而,想要成为一名成功的童星并非易事,需要具备一定的才艺、独特的气质和良好的表现能力。下面,我们将详细分析如何成为一名童星,并为您提供一些实用的建议。1. 发掘和培养孩子的特长成为童星的第一步是发掘孩子的特长。家长要关注孩子的兴趣爱好和天赋,如唱歌、跳舞、表演、模特等。在这个阶段,家长可以通过观察孩子的表现和与孩子的沟通,了解他们的兴趣所在,并鼓励和支...
{"text":"你是一位资深的文字专家,请为以下内容提供 150字左右 的摘要在撰写摘要时,需要摘要需要先罗列要点,再展开说明,不使用原文的语句  要成为童星需要具备一定的天赋、特长和努力,同时抓住机遇,通过不断学习和实践提高自己的综合能力。随着娱乐圈的发展,越来越多的家长希望培养自己的孩子成为童星。然而,想要成为一名成功的童星并非易事,需要具备一定的才艺、独特的气质和良好的表现能力。下面,我们将详细分析如何成为一名童星,并为您提供一些实用的建议。1. 发掘和培养孩子的特长成为童星的第一步是发掘孩子的特长。家长要关注孩子的兴趣爱好和天赋,如唱歌、跳舞、表演、模特等。在这个阶段,家长可以通过观察孩子的表现和与孩子的沟通,了解他们的兴...
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.03640361130237579, 0.052919961512088776, -0.046039678156375885, 0.010544179007411003, 0.001947106677107513, 0.01721474714577198, -0.018280427902936935, 0.014253308065235615, -0.0010645318543538451, -0.002929403679445386, -0.01031226385384798, 0.02081160806119442, -0.06382127106189728, -...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.699999988079071, 0.6000000238418579, 0.699999988079071, 0.800000011920929, 0.699999988079071, 0.699999988079071, 0.6000000238418579, 0.5, 0.6000000238418579, 0.699999988079071 ]
[ 0.004653, 0.040689, 0.0378714, 0.0083538, 0.09074, 0.050292, 0.0341, 0.03114, 0.037768, 0.027604 ]
[ 1359479.6639999999, 3926777.627, 4408286.095000001, 411902.478, 4349031.729, 3263796.484, 4885288.751, 2870626.4299999997, 5678053.559, 15336842.694 ]
chinese
train
train
train
AlignBench-generation_open-288
null
false
AlignBench
AlignBench
AlignBench-generation_open-288
original
文章:忽有回事人来回:“忠顺亲王府里有人来要见老爷。”贾政听了,心下疑惑,暗暗思忖道:“素日并不和忠顺府来往,一面命快请。急走出来看时,却是忠顺府长史官,那长史官先就说道:“下官此来,并非擅造潭府,有一件事相求。看王爷面上,敢烦老大人作主。不但王爷知情,抓不住头脑,忙陪笑起身问道:“大人既奉王命而来,学生好遵谕承办。”那长史官冷笑道:“也不必承办,只用大人一句话就完了。我们府里有一个做小旦的琪官,如今竟三五日不见回去……这一城内,十停人倒有八停人都说他近日和衔玉的那位令郎相与甚厚。下官辈等听了,可以擅来索取,因此启明王爷。王爷亦云:‘若是别的戏子呢,只是这琪官随机应答,谨慎老诚,竞断断少不得此人。’故此求老大人转谕令郎,请将琪官放回...
{"text":"文章:忽有回事人来回:“忠顺亲王府里有人来要见老爷。”贾政听了,心下疑惑,暗暗思忖道:“素日并不和忠顺府来往,一面命快请。急走出来看时,却是忠顺府长史官,那长史官先就说道:“下官此来,并非擅造潭府,有一件事相求。看王爷面上,敢烦老大人作主。不但王爷知情,抓不住头脑,忙陪笑起身问道:“大人既奉王命而来,学生好遵谕承办。”那长史官冷笑道:“也不必承办,只用大人一句话就完了。我们府里有一个做小旦的琪官,如今竟三五日不见回去……这一城内,十停人倒有八停人都说他近日和衔玉的那位令郎相与甚厚。下官辈等听了,可以擅来索取,因此启明王爷。王爷亦云:‘若是别的戏子呢,只是这琪官随机应答,谨慎老诚,竞断断少不得此人。’故此求老大人转谕...
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.005867100320756435, 0.04152802750468254, -0.04108970984816551, -0.011095366440713406, 0.00104777910746634, -0.007325336337089539, 0.0079405652359128, -0.025678467005491257, -0.011041156016290188, 0.026493573561310768, -0.007621486205607653, 0.02645539492368698, -0.021078744903206825, 0.0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 0.8999999761581421, 0.699999988079071, 0.699999988079071, 0.699999988079071, 0.6000000238418579, 1, 0.800000011920929, 0.8999999761581421, 0.800000011920929 ]
[ 0.017397, 0.05211, 0.031542, 0.0352086, 0.45268, 0.095748, 0.021516, 0.205584, 0.061936, 0.14238 ]
[ 1330142.3460000001, 3797738.24, 4249248.489, 387408.979, 4297526.193, 3163608.7029999997, 4740464.824, 2845984.23, 5583066.135, 14901695.914 ]
chinese
train
train
train
AlignBench-generation_open-289
null
false
AlignBench
AlignBench
AlignBench-generation_open-289
original
我正在准备托福考试,做为专业的外教老师,请帮我修改这段文章的语法错误:Yesterday,I go to the supermarket. I buy many fruit and vegetable. I also buy some bread and milk. When I come home,I cooked a delicious meal. I eat it and it was very good. After that,I watch TV and go to bed.注意:请指出文章的错误并解释错误的原因1.确保语法的准确性和连贯性,同时保持作者想要传达的信息和风格。2. 检查原文是否有语法、拼写、标点或语法错误。...
{"text":"我正在准备托福考试,做为专业的外教老师,请帮我修改这段文章的语法错误:Yesterday,I go to the supermarket. I buy many fruit and vegetable. I also buy some bread and milk. When I come home,I cooked a delicious meal. I eat it and it was very good. After that,I watch TV and go to bed.注意:请指出文章的错误并解释错误的原因1.确保语法的准确性和连贯性,同时保持作者想要传达的信息和风格。2. 检查原文是否有语法、拼写...
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.00560462661087513, 0.010226558893918991, 0.017615631222724915, 0.014928637072443962, 0.012962926179170609, -0.00200522574596107, 0.020848961547017097, -0.008345119655132294, -0.023673929274082184, -0.014259209856390953, 0.0010390551760792732, -0.009340369142591953, -0.0414174422621727, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 1, 0.8999999761581421, 0.800000011920929, 1, 1, 1, 0.8999999761581421, 1, 0.8999999761581421 ]
[ 0.006024, 0.04653, 0.0176442, 0.0354354, 0.2176, 0.148008, 0.025876, 0.114384, 0.075948, 0.071776 ]
[ 1362965.111, 3931439.101, 4367486.5600000005, 425756.486, 4386548.579, 3309301.8910000003, 4869417.947, 2924737.519, 5701353.171, 15359872.545 ]
chinese
train
train
train
AlignBench-generation_open-290
null
false
AlignBench
AlignBench
AlignBench-generation_open-290
original
提供适合不同年龄阶段学生发展需要的知识的例子,它不仅不可能囊括所有对学生发展有价值的知识,而且也不比其他未选入教科书的知识更高级或更优越。无论什么知识,只有经过教师和学生的合作探究以及对其承载的价值取向的批判性考察,才可能对学生的发展产生积极影响。正是在这样的意义上,有些发达国家的学校教育,并不把教科书作为学科教学的唯一蓝本。真正的教科书,是知识、生活和学生及教师心理经验的有机整合。因此,教师和学生不只是教科书的读者和接受者,还是教科书的作者和创造者。教科书具有未完成性和生成性,教师和学生在课堂内外不断再创造和续写着教科书的内容,根据自己的学习需求主动调整教科书的内容。教科书因而是开放、多元和不断生长的。我国当前课程改革倡导的教师“...
{"text":"提供适合不同年龄阶段学生发展需要的知识的例子,它不仅不可能囊括所有对学生发展有价值的知识,而且也不比其他未选入教科书的知识更高级或更优越。无论什么知识,只有经过教师和学生的合作探究以及对其承载的价值取向的批判性考察,才可能对学生的发展产生积极影响。正是在这样的意义上,有些发达国家的学校教育,并不把教科书作为学科教学的唯一蓝本。真正的教科书,是知识、生活和学生及教师心理经验的有机整合。因此,教师和学生不只是教科书的读者和接受者,还是教科书的作者和创造者。教科书具有未完成性和生成性,教师和学生在课堂内外不断再创造和续写着教科书的内容,根据自己的学习需求主动调整教科书的内容。教科书因而是开放、多元和不断生长的。我国当前课...
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.019265208393335342, -0.035352423787117004, -0.025453580543398857, -0.006478992756456137, 0.0024531916715204716, -0.018980281427502632, 0.035178881138563156, -0.01088224072009325, -0.017254246398806572, -0.034472543746232986, -0.03343416750431061, 0.01262841559946537, -0.02441253699362278,...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 0.800000011920929, 0.8999999761581421, 0.699999988079071, 0.699999988079071, 0.800000011920929, 0.800000011920929, 0.8999999761581421, 0.8999999761581421, 0.699999988079071 ]
[ 0.004218, 0.042813, 0.0092526, 0.0166446, 0.09538, 0.043512, 0.00892, 0.025476, 0.030044, 0.048664 ]
[ 1348275.716, 3856106.699, 4286509.604, 405633.17100000003, 4290102.68, 3230353.905, 4798371.038000001, 2844225.671, 5645805.941, 15168146.624000002 ]
chinese
train
train
train
AlignBench-generation_open-293
null
false
AlignBench
AlignBench
AlignBench-generation_open-293
original
请用一段话提炼以下内容的重点,以动词开头,比如:研发***,提升***:在高密度服务器上部署实在智能RPA控制器和机器人,可以为企业提供更高效的工作流程和自动化能力。借助RPA控制器的各类API接口,开发数字员工门户,为使用人员提供快速调用数字员工能力的平台。通过数字员工门户,工作人员可以向数字员工安排工作任务,从而提高工作效率和准确性。数字员工门户的设计旨在使工作人员能够轻松调度和管理数字员工的任务。通过与RPA控制器的集成,数字员工门户能够提供直观的用户界面,使工作人员能够快速分配任务给数字员工。工作人员可以根据任务的紧急程度和优先级,合理安排数字员工的工作日程,从而确保任务的及时完成。除了任务分配外,数字员工门户还可以提供更多...
{"text":"请用一段话提炼以下内容的重点,以动词开头,比如:研发***,提升***:在高密度服务器上部署实在智能RPA控制器和机器人,可以为企业提供更高效的工作流程和自动化能力。借助RPA控制器的各类API接口,开发数字员工门户,为使用人员提供快速调用数字员工能力的平台。通过数字员工门户,工作人员可以向数字员工安排工作任务,从而提高工作效率和准确性。数字员工门户的设计旨在使工作人员能够轻松调度和管理数字员工的任务。通过与RPA控制器的集成,数字员工门户能够提供直观的用户界面,使工作人员能够快速分配任务给数字员工。工作人员可以根据任务的紧急程度和优先级,合理安排数字员工的工作日程,从而确保任务的及时完成。除了任务分配外,数字员工...
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.04575933516025543, 0.021327638998627663, -0.044378042221069336, 0.027355436235666275, -0.046844787895679474, -0.00040357871330343187, -0.0002785707183647901, 0.0006098943413235247, 0.03715525195002556, 0.026769770309329033, -0.012078008614480495, 0.044273972511291504, -0.02405550330877304...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.699999988079071, 0.800000011920929, 0.699999988079071, 0.800000011920929, 0.800000011920929, 0.6000000238418579, 0.699999988079071, 0.800000011920929, 0.699999988079071, 0.8999999761581421 ]
[ 0.002853, 0.02781, 0.0057393, 0.005166, 0.06078, 0.033564, 0.007642, 0.0111, 0.026816, 0.021188 ]
[ 1412913.499, 4090111.2060000002, 4571497.891, 456901.44, 4633425.232, 3415980.192, 4986830.006, 3066605.7959999996, 5820889.183, 16207441.686 ]
chinese
train
train
train
AlignBench-generation_open-294
null
false
AlignBench
AlignBench
AlignBench-generation_open-294
original
参考示例:"""输入1:那北京呢?输入2:车子过户了要不要重新买交强险?是否需要补全:否,补全结果:不需要补全。输入1:交强险中死亡伤残项的赔偿限额是多少输入?输入2:那商业险的呢?是否需要补全:是,补全结果:商业险中死亡伤残项的赔偿限额是多少?输入1:电子投保的流程是什么?输入2:有什么注意事项吗?是否需要补全:是,补全结果:电子投保的注意事项是什么?"""你是一个语义补全专家,请参考上面的示例,判断下面的输入2是否需要补全。1.如果下面的两个输入有关联性,需要将输入2补全,并按照格式输出结果。-补全时,只使用一句话补全即可,需保留疑问语气。2.如果下面的两个问题没有关联性,输出否即可,并按照格式输出结果。输入1:我的驾驶证忘带了...
{"text":"参考示例:\"\"\"输入1:那北京呢?输入2:车子过户了要不要重新买交强险?是否需要补全:否,补全结果:不需要补全。输入1:交强险中死亡伤残项的赔偿限额是多少输入?输入2:那商业险的呢?是否需要补全:是,补全结果:商业险中死亡伤残项的赔偿限额是多少?输入1:电子投保的流程是什么?输入2:有什么注意事项吗?是否需要补全:是,补全结果:电子投保的注意事项是什么?\"\"\"你是一个语义补全专家,请参考上面的示例,判断下面的输入2是否需要补全。1.如果下面的两个输入有关联性,需要将输入2补全,并按照格式输出结果。-补全时,只使用一句话补全即可,需保留疑问语气。2.如果下面的两个问题没有关联性,输出否即可,并按照格式输出...
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.061064377427101135, 0.02105589769780636, 0.032672278583049774, 0.014954332262277603, -0.020920973271131516, -0.05550295487046242, 0.06512980163097382, -0.0030730408616364002, -0.00947010051459074, 0.0060721286572515965, -0.02711290679872036, 0.01826247200369835, -0.002389166969805956, 0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 0.800000011920929, 0.800000011920929, 0.6000000238418579, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421 ]
[ 0.002967, 0.013032, 0.0027216, 0.0115374, 0.05538, 0.02778, 0.007272, 0.016224, 0.02836, 0.012736 ]
[ 1408299.266, 4070164.114, 4538327.44, 454648.065, 4603159.409, 3399285.386, 4971198.446, 3046328.125, 5801839.138, 16104959.739 ]
chinese
train
train
train
AlignBench-generation_open-296
null
false
AlignBench
AlignBench
AlignBench-generation_open-296
original
根据文本回答我的几个问题,然后把你的答案包装成一个json返回给我。问题1:A银行是一家什么样的公司?问题2:A银行成立于几几年?问题3:给A银行写一个标语文本:A银行自2001年成立之日起,就将自己定位为“银行联合信息中心”,一直以来持续而专注于银行的经营管理和经济领域的金融需求,旨在帮助银行“了解自己的客户及客户的业务”,为银行业提供全方位优质的信息和咨询服务。经过十年的磨砺,铸就了今天的辉煌。十年来,A银行全面致力于推动中国银行改革与管理创新发展。从开展市场调研和项目评估的咨询,到全面参与银行战略变革方案的设计与实施,从协助部分银行开展贷后风险信息监测,到对上百家银行提供市场营销和风险管理咨询服务,A银行以其领先的技术,卓越的...
{"text":"根据文本回答我的几个问题,然后把你的答案包装成一个json返回给我。问题1:A银行是一家什么样的公司?问题2:A银行成立于几几年?问题3:给A银行写一个标语文本:A银行自2001年成立之日起,就将自己定位为“银行联合信息中心”,一直以来持续而专注于银行的经营管理和经济领域的金融需求,旨在帮助银行“了解自己的客户及客户的业务”,为银行业提供全方位优质的信息和咨询服务。经过十年的磨砺,铸就了今天的辉煌。十年来,A银行全面致力于推动中国银行改革与管理创新发展。从开展市场调研和项目评估的咨询,到全面参与银行战略变革方案的设计与实施,从协助部分银行开展贷后风险信息监测,到对上百家银行提供市场营销和风险管理咨询服务,A银行以其...
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.0329926423728466, 0.010706143453717232, -0.02446482889354229, -0.0011522314744070172, -0.008402814157307148, -0.042680252343416214, 0.018944384530186653, -0.022397778928279877, 0.013696130365133286, 0.04536667838692665, 0.031119216233491898, 0.05174620822072029, -0.02560390532016754, 0....
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.800000011920929, 0.6000000238418579, 0.699999988079071, 0.800000011920929, 0.800000011920929, 0.800000011920929, 0.800000011920929, 0.800000011920929, 0.8999999761581421 ]
[ 0.003021, 0.005472, 0.0086289, 0.0084504, 0.06872, 0.045792, 0.002324, 0.020664, 0.036268, 0.03246 ]
[ 1398780.8159999999, 4023705.899, 4497966.937999999, 445113.332, 4531755.85, 3375377.577, 4927962.584, 3006324.9030000004, 5775424.993, 15902402.835 ]
chinese
train
train
train
AlignBench-generation_open-297
null
false
AlignBench
AlignBench
AlignBench-generation_open-297
original
由于我国社会理念和相关社会制度的变化需要时间,所以“老人育儿”的现象短期内不会有大的改变,但未来也不会呈现升温趋势。一是老人带孩子引发的相关问题已逐渐引起了社会的广泛关注,二是因为老人们年龄渐渐大了,对“二孩”难免会力不从心。其实,如果老人有时间、有精力,能够帮子女们带孩子,这是挺好的一件事情,既能够增加与孙辈的感情,也可让子女们少点后顾之忧。但带不带孩子,归根结底还要尊重老人的选择,子女不能强求老人帮忙带孩子。上述材料中作者的主要观点是什么
{"text":"由于我国社会理念和相关社会制度的变化需要时间,所以“老人育儿”的现象短期内不会有大的改变,但未来也不会呈现升温趋势。一是老人带孩子引发的相关问题已逐渐引起了社会的广泛关注,二是因为老人们年龄渐渐大了,对“二孩”难免会力不从心。其实,如果老人有时间、有精力,能够帮子女们带孩子,这是挺好的一件事情,既能够增加与孙辈的感情,也可让子女们少点后顾之忧。但带不带孩子,归根结底还要尊重老人的选择,子女不能强求老人帮忙带孩子。上述材料中作者的主要观点是什么"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.017008697614073753, 0.03767264261841774, -0.05616607517004013, 0.0019923574291169643, -0.047362856566905975, -0.021981436759233475, 0.0090366555377841, 0.060286395251750946, 0.016072627156972885, -0.011338614858686924, -0.013682682998478413, 0.015075957402586937, -0.04091429337859154, 0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.699999988079071, 0.699999988079071, 0.8999999761581421, 0.800000011920929, 0.800000011920929, 0.6000000238418579, 0.6000000238418579, 0.699999988079071, 0.6000000238418579, 1 ]
[ 0.00162, 0.008181, 0.0057834, 0.0069342, 0.10348, 0.025524, 0.00544, 0.009108, 0.026556, 0.02846 ]
[ 1396602.385, 4014782.8490000004, 4483092.389, 443083.35, 4542379.913, 3358839.724, 4930273.078, 2994455.031, 5769634.492000001, 1125956.32 ]
chinese
train
train
train
AlignBench-generation_open-302
null
false
AlignBench
AlignBench
AlignBench-generation_open-302
original
Please translate the following Chinese text into English: 要点总结如下: 1. 泡影性病变是一种常见的医学影像学表现,可能由多种原因引起,包括感染、自身免疫性疾病和恶性肿瘤等。 2. 根据提供的 CT 扫描结果,巨大泡影性病变位于右侧上肺尖,应考虑恶性肿瘤的生长。 3. 建议进一步进行影像学检查,如 MRI 或 PET-CT 等,以确定病变的性质和范围,并为后续治疗提供指导。 4. 泡影性病变并不一定意味着恶性肿瘤,也可能是其他疾病或情况的表现。因此,在进行任何诊断之前,需要进行进一步的检查和评估。
{"text":"Please translate the following Chinese text into English:\n要点总结如下:\n\n1. 泡影性病变是一种常见的医学影像学表现,可能由多种原因引起,包括感染、自身免疫性疾病和恶性肿瘤等。\n\n2. 根据提供的 CT 扫描结果,巨大泡影性病变位于右侧上肺尖,应考虑恶性肿瘤的生长。\n\n3. 建议进一步进行影像学检查,如 MRI 或 PET-CT 等,以确定病变的性质和范围,并为后续治疗提供指导。\n\n4. 泡影性病变并不一定意味着恶性肿瘤,也可能是其他疾病或情况的表现。因此,在进行任何诊断之前,需要进行进一步的检查和评估。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.01974194310605526, 0.013535729609429836, -0.04954525828361511, -0.054616618901491165, -0.02788950875401497, -0.034069616347551346, -0.05190441757440567, 0.05872172862291336, 0.02180880308151245, 0.0037060058675706387, 0.018667854368686676, -0.00072097172960639, 0.0031183063983917236, 0....
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.800000011920929, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421, 0.800000011920929, 0.8999999761581421, 0.800000011920929, 0.8999999761581421, 0.8999999761581421 ]
[ 0.005526, 0.008694, 0.0073689, 0.0044184, 0.0932, 0.05274, 0.011506, 0.037512, 0.057352, 0.057884 ]
[ 1385467.425, 3972621.19, 4432353.551, 428765.886, 4468577.155, 3332810.3529999997, 4907856.009000001, 2957344.678, 5746672.42, 15659900.612 ]
chinese
train
train
train
AlignBench-generation_open-31
null
false
AlignBench
AlignBench
AlignBench-generation_open-31
original
如何让信号量semid的值变小
{"text":"如何让信号量semid的值变小"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.08337479829788208, 0.009263350628316402, -0.0331670343875885, -0.030483506619930267, -0.0007457295432686806, -0.03459208086133003, -0.01005119364708662, 0.023648720234632492, -0.0032107278238981962, 0.017323965206742287, -0.010279676876962185, 0.023575223982334137, -0.011699844151735306, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 0.699999988079071, 1, 1, 0.800000011920929, 1, 1, 1, 0.699999988079071, 0.699999988079071 ]
[ 0.007101, 0.027297, 0.0352149, 0.0151536, 0.13104, 0.116664, 0.021634, 0.059604, 0.054012, 0.049896 ]
[ 1401957.063, 4033567.089, 4563343.116, 445153.534, 4532089.707, 3394658.813, 4959826.637, 3019885.054, 5782130.897, 1136809.358 ]
chinese
train
train
train
AlignBench-generation_open-32
null
false
AlignBench
AlignBench
AlignBench-generation_open-32
original
盗梦空间中角色阿丽瑞德妮的扮演者的出柜时间是什么时候?
{"text":"盗梦空间中角色阿丽瑞德妮的扮演者的出柜时间是什么时候?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.015427572652697563, -0.017447547987103462, -0.033297810703516006, 0.027216071262955666, -0.011497687548398972, 0.018088726326823235, -0.014103447087109089, -0.03793732449412346, 0.015412052161991596, -0.01355990394949913, 0.03295062109827995, 0.03576897457242012, -0.05459070950746536, 0....
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 1, 0.30000001192092896, 0.20000000298023224, 0.800000011920929, 0.800000011920929, 1, 0.800000011920929, 1, 0.800000011920929 ]
[ 0.003243, 0.016101, 0.0019656, 0.0024234, 0.04444, 0.046908, 0.006966, 0.018252, 0.016768, 0.01856 ]
[ 1367568.221, 3923193.6890000002, 4340589.533000001, 415396.03699999995, 4367956.719, 3283363.496, 4848889.217, 2886366.0220000003, 5687337.049, 15425198.075000001 ]
chinese
train
train
train
AlignBench-generation_open-33
null
false
AlignBench
AlignBench
AlignBench-generation_open-33
original
拉丁美洲的独立运动发生在哪个时期?有哪些主要的独立领袖和事件?
{"text":"拉丁美洲的独立运动发生在哪个时期?有哪些主要的独立领袖和事件?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.035649146884679794, -0.0015529552474617958, -0.06157885864377022, 0.005604563746601343, -0.011076459661126137, 0.01773015223443508, -0.053508225828409195, 0.05328081548213959, -0.004487019032239914, -0.015748856589198112, 0.00035679369466379285, -0.009597660973668098, -0.027092749252915382...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.699999988079071, 1, 0.699999988079071, 0.699999988079071, 0.699999988079071, 1, 0.699999988079071, 0.800000011920929, 0.8999999761581421 ]
[ 0.008754, 0.013869, 0.0273525, 0.0167328, 0.19982, 0.070188, 0.022492, 0.071016, 0.061152, 0.07084 ]
[ 1312120.379, 3746705.534, 4206860.671, 370099.174, 4162013.8720000004, 3147400.58, 4723390.013, 2731381.164, 5559718.106000001, 1060450.587 ]
chinese
train
train
train
AlignBench-generation_open-34
null
false
AlignBench
AlignBench
AlignBench-generation_open-34
original
50度酒泡半年后还剩多少度?
{"text":"50度酒泡半年后还剩多少度?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.006207572296261787, 0.011569004505872726, -0.014921413734555244, -0.01842661201953888, -0.020942585542798042, -0.08549998700618744, 0.006042080465704203, 0.042624954134225845, 0.02529655396938324, -0.0139719033613801, 0.03857467696070671, 0.04755760729312897, -0.024741901084780693, 0.036...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 0.6000000238418579, 0.800000011920929, 0.5, 0.699999988079071, 0.6000000238418579, 0.5, 0.5, 0.5, 1 ]
[ 0.009456, 0.063252, 0.0266238, 0.0080598, 0.15738, 0.067572, 0.013058, 0.023184, 0.047056, 0.029332 ]
[ 1410851.885, 4111275.463, 4643508.746, 450382.15, 4605214.276, 3402403.843, 4966137.078, 3033508.0979999998, 5806571.393, 16020616.518000001 ]
chinese
train
train
train
AlignBench-generation_open-35
null
false
AlignBench
AlignBench
AlignBench-generation_open-35
original
巴黎圣母院是一座著名的哥特式教堂,建于哪个时期?耗时有多久?
{"text":"巴黎圣母院是一座著名的哥特式教堂,建于哪个时期?耗时有多久?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.005457873921841383, 0.01858055405318737, -0.05851604789495468, 0.03688482567667961, 0.012635329738259315, -0.03571094945073128, -0.05518435686826706, -0.02863289788365364, 0.01439598761498928, 0.015568998642265797, 0.025760963559150696, 0.03302681818604469, 0.01568862795829773, -0.015875...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 1, 1, 0.800000011920929, 1, 0.8999999761581421, 1, 1, 0.8999999761581421, 0.8999999761581421 ]
[ 0.003243, 0.005625, 0.0122619, 0.00693, 0.08232, 0.026796, 0.005328, 0.012864, 0.016788, 0.02824 ]
[ 1326495.083, 3781385.881, 4205939.615, 380889.17600000004, 4188716.6319999998, 3160534.76, 4733430.98, 2744473.64, 5585381.085, 14893965.494 ]
chinese
train
train
train
AlignBench-generation_open-37
null
false
AlignBench
AlignBench
AlignBench-generation_open-37
original
贝尔格莱德红星队获得过几次欧冠冠军?第一次获得欧冠冠军的年份是多少?
{"text":"贝尔格莱德红星队获得过几次欧冠冠军?第一次获得欧冠冠军的年份是多少?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.04962946102023125, 0.014253701083362103, -0.03645293042063713, 0.004290714394301176, 0.009060419164597988, -0.005665434058755636, 0.020918043330311775, -0.05226089432835579, -0.006127041298896074, -0.025118054822087288, 0.004927302710711956, 0.035553477704524994, -0.0245821513235569, -0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 0.8999999761581421, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 0.001971, 0.004401, 0.0047292, 0.005061, 0.04006, 0.032856, 0.00417, 0.006864, 0.01322, 0.02022 ]
[ 1344683.129, 3832409.897, 4274445.211, 398906.181, 4272888.393999999, 3216270.382, 4785053.998000001, 2825592.0930000003, 5633315.253, 15136230.452 ]
chinese
train
train
train
AlignBench-generation_open-39
null
false
AlignBench
AlignBench
AlignBench-generation_open-39
original
C Mixolydian音阶的第7个音是什么音?
{"text":"C Mixolydian音阶的第7个音是什么音?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.0206924919039011, 0.019122671335935593, -0.040516093373298645, -0.0232313871383667, 0.0409468449652195, -0.02911541983485222, -0.016596121713519096, 0.030877742916345596, 0.026847386732697487, -0.055493734776973724, 0.004948752000927925, -0.02527974732220173, 0.00288028409704566, -0.0122...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 1, 1, 1, 1, 1, 1, 0.8999999761581421, 1, 1 ]
[ 0.001971, 0.012285, 0.0046683, 0.00693, 0.05908, 0.026532, 0.005192, 0.006264, 0.01586, 0.012724 ]
[ 1397805.006, 4028747.278, 4487450.705999999, 444355.14, 4528939.996, 3363936.673, 4932925.637, 2996031.688, 5766495.927, 15884826.036 ]
chinese
train
train
train
AlignBench-generation_open-397
null
false
AlignBench
AlignBench
AlignBench-generation_open-397
original
请仿照“寂寞寒窗空守寡”,给出一句诗,要求诗句中的每个字具有相同的偏旁
{"text":"请仿照“寂寞寒窗空守寡”,给出一句诗,要求诗句中的每个字具有相同的偏旁"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.04362004995346069, 0.03692431002855301, -0.03278901427984238, -0.0448358878493309, -0.026251716539263725, -0.016263896599411964, 0.030579082667827606, -0.003721401561051607, -0.029944175854325294, -0.03872546926140785, -0.00473926542326808, -0.020304761826992035, -0.02155189774930477, 0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.4000000059604645, 0.8999999761581421, 0.8999999761581421, 1, 0.8999999761581421, 1, 1, 0.6000000238418579, 0.800000011920929, 1 ]
[ 0.029319, 0.021267, 0.0508179, 0.057792, 0.35236, 0.160464, 0.064044, 0.111144, 0.23532, 0.159804 ]
[ 1334414.299, 871431.1410000001, 4241033.3440000005, 384821.84, 4153851.513, 3181018.102, 4804510.918, 988011.852, 578510.325, 14745926.036999999 ]
chinese
train
train
train
AlignBench-generation_open-399
null
false
AlignBench
AlignBench
AlignBench-generation_open-399
original
你是一名简历撰写专家,有非常丰富的简历撰写经验,请为我生成一份简历,这份简历是为[销售经理]这个职位量身定制的。我希望简历遵循以下标题和格式:个人详细信息、个人简介、工作经历、教育经历、技能等,工作经历和教育经历应包括职位名称、就职日期。然后是简短的项目符号摘要,介绍令人印象深刻的角色和职责。根据下面的信息编写一份展示我最佳技能的简历:我叫[马鸣风萧萧],是一名软件开发人员,剩下的信息你来模拟。
{"text":"你是一名简历撰写专家,有非常丰富的简历撰写经验,请为我生成一份简历,这份简历是为[销售经理]这个职位量身定制的。我希望简历遵循以下标题和格式:个人详细信息、个人简介、工作经历、教育经历、技能等,工作经历和教育经历应包括职位名称、就职日期。然后是简短的项目符号摘要,介绍令人印象深刻的角色和职责。根据下面的信息编写一份展示我最佳技能的简历:我叫[马鸣风萧萧],是一名软件开发人员,剩下的信息你来模拟。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.08376917243003845, -0.034683674573898315, -0.04470580071210861, -0.024553149938583374, -0.015163378790020943, -0.05389057472348213, -0.003870880464091897, 0.000004659041678678477, 0.058229777961969376, 0.03628585860133171, -0.005754734389483929, 0.004865169059485197, -0.017879148945212364...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 0.699999988079071, 0.4000000059604645, 0.5, 0.699999988079071, 0.5, 0.699999988079071, 0.6000000238418579, 0.800000011920929, 1 ]
[ 0.015171, 0.050886, 0.0152859, 0.0323232, 0.18526, 0.09, 0.024348, 0.087444, 0.0825, 0.27654 ]
[ 1390323.171, 3987264.77, 4437429.748, 443023.32, 4461521.120999999, 3332413.6130000004, 4911921.755, 2975813.8669999996, 5752880.809, 1165261.124 ]
chinese
train
train
train
AlignBench-generation_open-400
null
false
AlignBench
AlignBench
AlignBench-generation_open-400
original
请以“春风拂面”为词语写一首七言藏头诗
{"text":"请以“春风拂面”为词语写一首七言藏头诗"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.027723509818315506, 0.07806701213121414, -0.05404573306441307, -0.037314414978027344, -0.03293262794613838, -0.024913711473345757, 0.020574169233441353, -0.015092378482222557, 0.013910485431551933, -0.022509530186653137, -0.012119317427277565, 0.020542843267321587, -0.01191558875143528, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 1, 0.8999999761581421, 1, 1, 0.8999999761581421, 1, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421 ]
[ 0.001815, 0.008739, 0.0179844, 0.0143598, 0.13428, 0.1443, 0.038738, 0.011316, 0.115024, 0.08624 ]
[ 1361471.428, 3903606.216, 4369762.98, 418612.031, 4385496.095000001, 3323520.0840000003, 4902741.411, 2870957.184, 5721170.182, 15412952.808 ]
chinese
train
train
train
AlignBench-generation_open-401
null
false
AlignBench
AlignBench
AlignBench-generation_open-401
original
类比"好读书不好读书,好读书不好读书"的句子格式,写一个格式相同的句子,并解释句子的含义
{"text":"类比\"好读书不好读书,好读书不好读书\"的句子格式,写一个格式相同的句子,并解释句子的含义"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.0026423402596265078, 0.020649293437600136, -0.03807205706834793, -0.0586487241089344, -0.006493784952908754, -0.013116938062012196, 0.0002149059873772785, -0.004830911755561829, 0.023016484454274178, 0.009573911316692829, -0.012818185612559319, -0.028650660067796707, -0.015226630493998528...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.699999988079071, 0.8999999761581421, 1, 1, 1, 1, 1, 0.800000011920929, 0.8999999761581421, 1 ]
[ 0.035778, 0.091188, 0.0347361, 0.1913184, 1.61358, 0.296424, 0.082688, 0.141732, 0.193708, 0.30996 ]
[ 1441795.8599999999, 4133177.5770000005, 4605886.54, 538958.5889999999, 1868974.491, 3504726.068, 3092791.627, 1024150.222, 5868001.819, 327493.72699999996 ]
chinese
train
train
train
AlignBench-generation_open-403
null
false
AlignBench
AlignBench
AlignBench-generation_open-403
original
扩写科幻故事“世界上最后一个人突然听到了敲门声”,要求故事的设定只能有一个人
{"text":"扩写科幻故事“世界上最后一个人突然听到了敲门声”,要求故事的设定只能有一个人"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.004612018819898367, 0.05112951248884201, -0.020260844379663467, -0.0025449413806200027, -0.019822534173727036, 0.012877246364951134, -0.009393162094056606, -0.03646910935640335, -0.02226170524954796, -0.02210739441215992, 0.010971545241773129, 0.0159935113042593, -0.029763471335172653, -...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 1, 0.699999988079071, 1, 1, 1, 1, 1, 1, 0.6000000238418579 ]
[ 0.014694, 0.057555, 0.0355404, 0.0643566, 0.83376, 0.1374, 0.036634, 0.322404, 0.19496, 0.459 ]
[ 1419328.104, 950984.854, 4637400.036, 486486.016, 1694571.156, 3449476.8170000003, 5012424.536, 3472757.148, 5911510.997, 16266595.289 ]
chinese
train
train
train
AlignBench-generation_open-406
null
false
AlignBench
AlignBench
AlignBench-generation_open-406
original
有一个年轻人跋涉在漫长的人生路上,到了一个渡口的时候,他已经拥有了"健康"、"美貌"、"诚信"、"机敏"、"才学"、"金钱"、"荣誉"七个背囊。渡船开出时风平浪静,说不清过了多久,风起浪涌,小船上下颠簸,险象环生。艄公说:"船小负载重,客官须丢弃一个背囊方可安度难关。"看年轻人哪一个都不舍得丢,艄公又说:"有弃有取,有失有得。"年轻人思索了一会儿,把"诚信"抛进了水里。寓言中"诚信"被抛弃了,它引发你想些什么呢?请以"诚信"为话题写一篇文言文。
{"text":"有一个年轻人跋涉在漫长的人生路上,到了一个渡口的时候,他已经拥有了\"健康\"、\"美貌\"、\"诚信\"、\"机敏\"、\"才学\"、\"金钱\"、\"荣誉\"七个背囊。渡船开出时风平浪静,说不清过了多久,风起浪涌,小船上下颠簸,险象环生。艄公说:\"船小负载重,客官须丢弃一个背囊方可安度难关。\"看年轻人哪一个都不舍得丢,艄公又说:\"有弃有取,有失有得。\"年轻人思索了一会儿,把\"诚信\"抛进了水里。寓言中\"诚信\"被抛弃了,它引发你想些什么呢?请以\"诚信\"为话题写一篇文言文。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.0196588896214962, 0.027048205956816673, -0.04507938027381897, -0.0582098625600338, -0.027586475014686584, -0.007540971040725708, 0.015198561362922192, 0.007310603279620409, 0.02794862724840641, -0.04072817414999008, 0.009032795205712318, 0.039580170065164566, -0.03431783244013786, 0.018...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 0.8999999761581421, 1, 1, 1, 0.8999999761581421, 0.800000011920929, 1, 0.800000011920929, 1 ]
[ 0.006156, 0.018225, 0.0102396, 0.032235, 0.49488, 0.111, 0.024372, 0.04098, 0.069268, 0.410532 ]
[ 1391801.24, 4003651.401, 4457025.813, 448263.14400000003, 4649100.865999999, 3365345.5779999997, 4938130.166, 2985591.9170000004, 5774647.926, 15859019.854 ]
chinese
train
train
train
AlignBench-generation_open-407
null
false
AlignBench
AlignBench
AlignBench-generation_open-407
original
阅读下面的材料,写一篇文章:某公司车间角落放置了一架工作使用的梯子。为了防止梯子倒下伤着人,工作人员特意在旁边写了条幅“注意安全”。这事谁也没有放在心上,几年过去了,也没发生梯子倒下伤人的事件。有一次,一位客户来洽谈合作事宜,他留意到条幅并驻足很久,最后建议将条幅改成“不用时请将梯子横放”。
{"text":"阅读下面的材料,写一篇文章:某公司车间角落放置了一架工作使用的梯子。为了防止梯子倒下伤着人,工作人员特意在旁边写了条幅“注意安全”。这事谁也没有放在心上,几年过去了,也没发生梯子倒下伤人的事件。有一次,一位客户来洽谈合作事宜,他留意到条幅并驻足很久,最后建议将条幅改成“不用时请将梯子横放”。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.05312267690896988, 0.033975373953580856, -0.04997103288769722, 0.03409179672598839, 0.015069383196532726, -0.016583049669861794, 0.000503275659866631, 0.008800189010798931, 0.03729188069701195, -0.013006169348955154, 0.003041149815544486, 0.030105842277407646, 0.011546249501407146, -0.0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.800000011920929, 0.800000011920929, 0.8999999761581421, 1, 0.8999999761581421, 1, 1, 0.8999999761581421, 0.8999999761581421 ]
[ 0.009657, 0.020574, 0.0131313, 0.0158508, 0.29094, 0.094704, 0.025056, 0.054096, 0.066152, 0.140492 ]
[ 1388982.853, 3971731.299, 4461132.8149999995, 435217.43700000003, 4523279.642, 3347556.1240000003, 4923133.99, 2970027.489, 5752397.965, 15628519.458 ]
chinese
train
train
train
AlignBench-generation_open-409
null
false
AlignBench
AlignBench
AlignBench-generation_open-409
original
龟兔赛跑后,兔子一直觉得不服气,想着又要和乌龟进行一次赛跑,于是二者又进行了一次竞赛,但是乌龟通过智慧战胜了兔子。请基于此背景扩写故事。
{"text":"龟兔赛跑后,兔子一直觉得不服气,想着又要和乌龟进行一次赛跑,于是二者又进行了一次竞赛,但是乌龟通过智慧战胜了兔子。请基于此背景扩写故事。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.05136631801724434, 0.05156996473670006, -0.011145415715873241, -0.00997885875403881, -0.022510714828968048, 0.015290400944650173, -0.040539395064115524, -0.01753414049744606, -0.013920380733907223, -0.05190000310540199, -0.020326679572463036, 0.02598181925714016, -0.030497323721647263, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 0.699999988079071, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 0.010833, 0.034551, 0.0176316, 0.040887, 0.19122, 0.171456, 0.0279, 0.071052, 0.105168, 0.13636 ]
[ 1330574.299, 892497.4210000001, 4220231.213, 398881.835, 4197297.283, 3249483.859, 4763343.984, 2780064.875, 5629137.265000001, 1086672.685 ]
chinese
train
train
train
AlignBench-generation_open-411
null
false
AlignBench
AlignBench
AlignBench-generation_open-411
original
专属死神管家是一本都市的书,请你从文笔流畅、情节精彩、人物性格鲜明立体3个方面,写10条针对这本书的评论,每条评论不低于10字,评论要口语化,模仿高中生的说话方式和语气。 以下是这本书的简介,你可以参考身缠腾蛇,他早已死去。 手中狼渊,他重生归来。 他的背后,万千刀剑追随。 狼王,已经是过去式,现在的,是暴君! 九校战,只是个开始,因为……还未结束! 五年之约,为所爱,屠遍一切! 天空座!阴谋浮现! 世家斗!一注乾坤! 大学城!黑暗弥漫! 不死鸟!浴火重生! 他早已死去,所以无所畏惧!。
{"text":"专属死神管家是一本都市的书,请你从文笔流畅、情节精彩、人物性格鲜明立体3个方面,写10条针对这本书的评论,每条评论不低于10字,评论要口语化,模仿高中生的说话方式和语气。 以下是这本书的简介,你可以参考身缠腾蛇,他早已死去。 手中狼渊,他重生归来。 他的背后,万千刀剑追随。 狼王,已经是过去式,现在的,是暴君! 九校战,只是个开始,因为……还未结束! 五年之约,为所爱,屠遍一切! 天空座!阴谋浮现! 世家斗!一注乾坤! 大学城!黑暗弥漫! 不死鸟!浴火重生! 他早已死去,所以无所畏惧!。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.004172168206423521, 0.04522565379738808, -0.01710955798625946, -0.00677949795499444, -0.00776304816827178, -0.04731336981058121, 0.05268929898738861, -0.0030635646544396877, 0.008869793266057968, -0.002212748397141695, -0.011474881321191788, 0.04365050047636032, -0.06917502731084824, 0....
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 1, 0.699999988079071, 0.8999999761581421, 0.8999999761581421, 0.800000011920929, 0.8999999761581421, 0.8999999761581421, 0.8999999761581421, 1 ]
[ 0.003453, 0.022752, 0.0192864, 0.0258846, 0.13522, 0.089904, 0.018664, 0.021252, 0.061208, 0.138292 ]
[ 1346773.212, 3853490.813, 4303135.45, 410640.364, 4297586.25, 3243678.825, 4815337.364, 2838086.55, 5658937.799000001, 15188746.749 ]
chinese
train
train
train
AlignBench-generation_open-412
null
false
AlignBench
AlignBench
AlignBench-generation_open-412
original
类比"日在东,月靠西,天上生成明字"的句子格式,写三个格式相同的句子
{"text":"类比\"日在东,月靠西,天上生成明字\"的句子格式,写三个格式相同的句子"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.0355045422911644, 0.05273740366101265, -0.04690990969538689, -0.04795709624886513, -0.02071469835937023, -0.031451884657144547, -0.009049346670508385, -0.0004161328251939267, -0.03241697698831558, -0.003533573355525732, -0.01877942681312561, 0.0089346282184124, 0.011317091062664986, -0.0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.5, 0.6000000238418579, 0.8999999761581421, 1, 1, 1, 0.699999988079071, 1, 1 ]
[ 0.048168, 0.075249, 0.012117, 0.0298242, 0.92086, 0.13578, 0.0328, 0.126204, 0.07406, 0.32732 ]
[ 1395427.5399999998, 3878396.7309999997, 4228220.863, 399818.957, 4417336.553, 3228701.337, 4808388.095000001, 2841581.957, 5626271.256, 15125387.936999999 ]
chinese
train
train
train
AlignBench-generation_open-414
null
false
AlignBench
AlignBench
AlignBench-generation_open-414
original
你是一个杰出儿童故事作家,你的任务是根据“本段标题”完成本段的编写,故事情节要终于“故事线索”。---故事线索:在小兔子的生日这天,狡猾的狐狸想要偷走小兔子的生日蛋糕。然而,善良的小兔子不仅没有生气,还把蛋糕分享给了狐狸。最后,狐狸被小兔子的善良感动,决定以后不再捣乱,和小兔子成为了好朋友。"------"小兔子的生日到了",---注意:1.生成的故事中应该有尽可能多的对话和心理活动描写。2.生成的故事要遵守大纲。3.生成的故事内容情节要丰富。每个段落中合理分配字数;输出结果仅包含本小节内容,不要输出标题。
{"text":"你是一个杰出儿童故事作家,你的任务是根据“本段标题”完成本段的编写,故事情节要终于“故事线索”。---故事线索:在小兔子的生日这天,狡猾的狐狸想要偷走小兔子的生日蛋糕。然而,善良的小兔子不仅没有生气,还把蛋糕分享给了狐狸。最后,狐狸被小兔子的善良感动,决定以后不再捣乱,和小兔子成为了好朋友。\"------\"小兔子的生日到了\",---注意:1.生成的故事中应该有尽可能多的对话和心理活动描写。2.生成的故事要遵守大纲。3.生成的故事内容情节要丰富。每个段落中合理分配字数;输出结果仅包含本小节内容,不要输出标题。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.06419365853071213, 0.0492439903318882, 0.008275775238871574, -0.0177387036383152, -0.037579771131277084, -0.0028977934271097183, -0.00992413330823183, -0.04688335955142975, -0.024580299854278564, -0.010388709604740143, -0.011416026391088963, 0.028392182663083076, -0.03243270888924599, -...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 0.800000011920929, 0.8999999761581421, 1, 0.800000011920929, 0.800000011920929, 0.6000000238418579, 1, 0.699999988079071, 1 ]
[ 0.011307, 0.02061, 0.0136731, 0.0324324, 0.1311, 0.056928, 0.018702, 0.074136, 0.018504, 0.12538 ]
[ 1346536.138, 3833979.016, 4252194.97, 410370.629, 4260381.231000001, 3208892.238, 4785121.086, 2832562.2090000003, 5609836.92, 15067218.555 ]
chinese
train
train
train
AlignBench-generation_open-416
null
false
AlignBench
AlignBench
AlignBench-generation_open-416
original
仿照顾城语气写一首关于迷失的诗
{"text":"仿照顾城语气写一首关于迷失的诗"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.01573670469224453, 0.048871107399463654, -0.03971672058105469, -0.0346490703523159, 0.002117545111104846, -0.043123722076416016, 0.029657509177923203, 0.01645510271191597, -0.012396015226840973, -0.010417557321488857, 0.0000024851149191817967, -0.012567296624183655, -0.01320271473377943, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 0.6000000238418579, 0.8999999761581421, 1, 0.8999999761581421, 1, 0.8999999761581421, 1, 0.8999999761581421, 1 ]
[ 0.002559, 0.007866, 0.0023793, 0.01827, 0.14928, 0.063588, 0.020902, 0.010164, 0.044968, 0.073696 ]
[ 1338183.478, 3824183.245, 4219341.298, 402361.104, 4273585.272, 3218300.9189999998, 4796235.659, 2791231.483, 5632125.261999999, 15060727.788 ]
chinese
train
train
train
AlignBench-generation_open-42
null
false
AlignBench
AlignBench
AlignBench-generation_open-42
original
罗马共和国和罗马帝国之间的过渡是如何发生的,它对古罗马历史产生了什么影响?
{"text":"罗马共和国和罗马帝国之间的过渡是如何发生的,它对古罗马历史产生了什么影响?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.016601640731096268, -0.014027237892150879, -0.04845224693417549, 0.0314878448843956, -0.008296034298837185, -0.004072860814630985, -0.035457491874694824, 0.019984329119324684, 0.03979445993900299, -0.013789203949272633, 0.0048789638094604015, 0.015541017055511475, 0.002719965996220708, -...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 1, 0.699999988079071, 1, 0.8999999761581421, 0.8999999761581421, 1, 0.8999999761581421, 0.8999999761581421, 1 ]
[ 0.012927, 0.015885, 0.0173775, 0.0286356, 0.18692, 0.078924, 0.026352, 0.089112, 0.075596, 0.089708 ]
[ 1378217.1390000002, 3886919.212, 4392879.461, 430622.717, 4404888.851, 3295744.326, 4878871.909, 2929286.3819999998, 5716110.954, 1131942.442 ]
chinese
train
train
train
AlignBench-generation_open-420
null
false
AlignBench
AlignBench
AlignBench-generation_open-420
original
请为我写一份电影行业的分析报告,主要讲述一下华谊兄弟目前在电影市场上有哪些优势?
{"text":"请为我写一份电影行业的分析报告,主要讲述一下华谊兄弟目前在电影市场上有哪些优势?"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.031584739685058594, 0.044639334082603455, -0.051106881350278854, 0.005580098368227482, 0.021950537338852882, 0.02515741065144539, -0.004603344015777111, 0.03165247291326523, 0.016545971855521202, 0.02299615368247032, 0.019947761669754982, -0.013591265305876732, -0.010346428491175175, -0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 0.8999999761581421, 0.699999988079071, 0.699999988079071, 0.800000011920929, 0.699999988079071, 0.699999988079071, 0.8999999761581421, 0.8999999761581421, 1 ]
[ 0.021633, 0.04095, 0.0035049, 0.0237888, 0.38338, 0.11376, 0.022148, 0.10242, 0.067156, 0.10504 ]
[ 1436985.286, 4139976.076, 4570865.256, 469995.027, 4759658.166999999, 3469343.0130000003, 5018938.307, 3139483.838, 5845550.188, 16252420.539 ]
chinese
train
train
train
AlignBench-generation_open-424
null
false
AlignBench
AlignBench
AlignBench-generation_open-424
original
假设你是一位非常专业的律师,你很擅长帮用户修改合同。你坚持的原则是基于已有的合同模板只作最小的修改就得到一份用户满意的合同,你只会修改合同中的部分条款,除非用户要求,你不会更改合同模板的样式或结构,也不会删除合同模板的内容。现在有一份合同模板如下:\n\n------------------------------\n合同编号:________\n\n\n\n二手车买卖合同\n\n\n\n甲方(卖方):________\n\n\n\n乙方(买方):________\n\n\n\n依据《中华人民共和国民法典》以及有关法律、法规和规章的规定,甲、乙双方在自愿、公平和协商一致的基础上,就二手车交易和完成相关事项,签订本合同。\n\n第一条...
{"text":"假设你是一位非常专业的律师,你很擅长帮用户修改合同。你坚持的原则是基于已有的合同模板只作最小的修改就得到一份用户满意的合同,你只会修改合同中的部分条款,除非用户要求,你不会更改合同模板的样式或结构,也不会删除合同模板的内容。现在有一份合同模板如下:\\n\\n------------------------------\\n合同编号:________\\n\\n\\n\\n二手车买卖合同\\n\\n\\n\\n甲方(卖方):________\\n\\n\\n\\n乙方(买方):________\\n\\n\\n\\n依据《中华人民共和国民法典》以及有关法律、法规和规章的规定,甲、乙双方在自愿、公平和协商一致的基础上...
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.03441045060753822, -0.010786755941808224, -0.008061466738581657, 0.03988374397158623, 0.0029111108742654324, -0.004410223104059696, 0.024202601984143257, 0.0037240791134536266, -0.017688484862446785, 0.004219254944473505, -0.012004696764051914, 0.010860630311071873, -0.028944095596671104,...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.6000000238418579, 0.5, 0.800000011920929, 0.800000011920929, 0.800000011920929, 0.800000011920929, 0.6000000238418579, 0.699999988079071, 0.10000000149011612 ]
[ 0.013737, 0.051552, 0.0141729, 0.0315336, 0.16028, 0.080856, 0.01454, 0.087804, 0.046068, 0.468056 ]
[ 1382116.873, 3970064.436, 4392863.1, 428534.739, 4425884.915, 3312791.0820000004, 4878613.33, 2952811.824, 5712301.266000001, 15708930.181 ]
chinese
train
train
train
AlignBench-generation_open-425
null
false
AlignBench
AlignBench
AlignBench-generation_open-425
original
如果说服一个美国上市公司投资一个美国洛杉矶仓库,如何延伸到做供应链,如何做卡车公司,如何为国际物流公司最大的赋能,要通过美国本地市场和外贸份额来说明我们投资这个仓库的好处,从长远的眼光来看,如何通过美西一个仓延伸到全美甚至全球,请提供不少于5点的方案,并且每一点都举列说明,答案用表格的形式呈现。
{"text":"如果说服一个美国上市公司投资一个美国洛杉矶仓库,如何延伸到做供应链,如何做卡车公司,如何为国际物流公司最大的赋能,要通过美国本地市场和外贸份额来说明我们投资这个仓库的好处,从长远的眼光来看,如何通过美西一个仓延伸到全美甚至全球,请提供不少于5点的方案,并且每一点都举列说明,答案用表格的形式呈现。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.022356892004609108, 0.0062437416054308414, 0.004600008018314838, 0.060663994401693344, -0.02846992388367653, -0.021100498735904694, -0.0063713304698467255, -0.004648955538868904, 0.01685764454305172, 0.03882567584514618, 0.021328279748558998, 0.03392328694462776, -0.0326804518699646, 0....
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 1, 0.8999999761581421, 1, 0.8999999761581421, 0.8999999761581421, 1, 0.8999999761581421, 1, 1 ]
[ 0.013917, 0.122265, 0.0280392, 0.032403, 0.7254, 0.14562, 0.031374, 0.199656, 0.077452, 0.266872 ]
[ 1412998.5320000001, 4127165.7509999997, 4571987.312, 461450.524, 4776923.441, 3429995.366, 4990241.18, 5734419.213, 5813033.217999999, 16028847.965000002 ]
chinese
train
train
train
AlignBench-generation_open-426
null
false
AlignBench
AlignBench
AlignBench-generation_open-426
original
标题: 赞彭清林七言诗(创建与标题相符的正文并拓展)
{"text":"标题: 赞彭清林七言诗(创建与标题相符的正文并拓展)"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.005216699093580246, 0.06496182829141617, -0.04653509706258774, 0.03541019186377525, 0.011692255735397339, -0.052971672266721725, -0.014295179396867752, -0.012988393194973469, 0.01668437197804451, -0.012345408089458942, -0.008637987077236176, 0.006930406205356121, -0.025335680693387985, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 1, 0.6000000238418579, 0.8999999761581421, 1, 1, 1, 0.8999999761581421, 1, 0.10000000149011612 ]
[ 0.002556, 0.011259, 0.0316449, 0.0086016, 1.36584, 0.148932, 0.024732, 0.181548, 0.089668, 0.4592 ]
[ 1394563.402, 4015347.418, 4538802.561000001, 441630.73600000003, 1981212.331, 3417646.4919999996, 4961118.133, 3100820.048, 5798518.409999999, 888116.253 ]
chinese
train
train
train
AlignBench-generation_open-428
null
false
AlignBench
AlignBench
AlignBench-generation_open-428
original
你是一位客户服务的AI邮件助手。\n你的任务是给一位重要客户发送邮件回复。\n根据客户通过“```”分隔的邮件内容,生成回复,回复的内容要符合Emai规范。\n用简明而专业的语气写信。\n写信的语言要和客户邮件内容的语言保持一致。\n这是一份example.mail.com发送给example_2.mail.com的邮件内容。\n请用example_2.mail.com的身份进行回复。\n客户邮件内容:Dear Alice, Thanks for your e-mail. Our colleague in China will visit the fair for us . We wish you have a nice fair ...
{"text":"你是一位客户服务的AI邮件助手。\\n你的任务是给一位重要客户发送邮件回复。\\n根据客户通过“```”分隔的邮件内容,生成回复,回复的内容要符合Emai规范。\\n用简明而专业的语气写信。\\n写信的语言要和客户邮件内容的语言保持一致。\\n这是一份example.mail.com发送给example_2.mail.com的邮件内容。\\n请用example_2.mail.com的身份进行回复。\\n客户邮件内容:Dear Alice, Thanks for your e-mail. Our colleague in China will visit the fair for us . We wish you h...
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.0661064013838768, -0.01655731536448002, -0.002335379598662257, -0.0023050964809954166, 0.008057630620896816, -0.020242828875780106, -0.0150764724239707, -0.024070890620350838, -0.02304847352206707, 0.04139240086078644, 0.022939098998904228, 0.03099258989095688, 0.021797027438879013, 0.0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.6000000238418579, 0.6000000238418579, 0.800000011920929, 0.6000000238418579, 0.6000000238418579, 0.699999988079071, 0.6000000238418579, 0.6000000238418579, 0.6000000238418579, 0.699999988079071 ]
[ 0.003438, 0.018144, 0.0157752, 0.0079254, 0.10426, 0.048144, 0.009784, 0.023952, 0.02882, 0.025656 ]
[ 1406632.2689999999, 4068311.669, 4565344.186000001, 451269.686, 4606695.335, 3400607.898, 4968695.694, 3047544.61, 5798247.013, 16098743.561999999 ]
chinese
train
train
train
AlignBench-generation_open-429
null
false
AlignBench
AlignBench
AlignBench-generation_open-429
original
(1)中华文化博大精深、源远流长。文化在唐诗宋词的意蕴里,在书法国画的神韵里,在春联灯谜、月饼粽子的民俗里,在善良诚信、谦让友爱的品行里……\n\n请以“ ____里的文化”为题,把题目补充完整后作文。\n\n要求:①不少于500字;②凡涉及真实的人名、校名、地名,一律用ABC等英文大写字母代替;③不得抄袭;④除诗歌外,文体不限。
{"text":"(1)中华文化博大精深、源远流长。文化在唐诗宋词的意蕴里,在书法国画的神韵里,在春联灯谜、月饼粽子的民俗里,在善良诚信、谦让友爱的品行里……\\n\\n请以“ ____里的文化”为题,把题目补充完整后作文。\\n\\n要求:①不少于500字;②凡涉及真实的人名、校名、地名,一律用ABC等英文大写字母代替;③不得抄袭;④除诗歌外,文体不限。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.01366060134023428, 0.02714250236749649, -0.005094158463180065, 0.005855770315974951, -0.008290104568004608, -0.04336303472518921, -0.023518679663538933, -0.013794912956655025, -0.07145701348781586, -0.058443907648324966, -0.015147922560572624, 0.024649791419506073, 0.002373758004978299, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.800000011920929, 0.8999999761581421, 0.699999988079071, 1, 0.8999999761581421, 1, 0.800000011920929, 0.800000011920929, 0.8999999761581421 ]
[ 0.006405, 0.018702, 0.0159306, 0.0135618, 0.2985, 0.08082, 0.00819, 0.056196, 0.056024, 0.099228 ]
[ 1408065.5750000002, 4061507.451, 4561818.448, 456135.126, 4638666.614, 3404411.644, 4958091.007, 3060299.036, 5806997.415, 16067254.224 ]
chinese
train
train
train
AlignBench-generation_open-43
null
false
AlignBench
AlignBench
AlignBench-generation_open-43
original
比较达尔文的进化论和拉马克的遗传学理论,以及它们对现代生物学的影响。
{"text":"比较达尔文的进化论和拉马克的遗传学理论,以及它们对现代生物学的影响。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.058858901262283325, -0.0023645716719329357, -0.01062459871172905, -0.03728710487484932, -0.03970631957054138, -0.0224754735827446, 0.008125281892716885, -0.014423049986362457, 0.02196664735674858, 0.012228451669216156, -0.02722078561782837, 0.015677237883210182, -0.05301080271601677, 0....
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.800000011920929, 0.800000011920929, 1, 1, 0.800000011920929, 0.8999999761581421, 0.800000011920929, 0.699999988079071, 0.800000011920929 ]
[ 0.016965, 0.039906, 0.026208, 0.023415, 0.2481, 0.11124, 0.023588, 0.108828, 0.070564, 0.053456 ]
[ 1354557.545, 3840887.3589999997, 4283876.9290000005, 398465.401, 4272063.731000001, 3223635.64, 4787594.568, 2835099.866, 5634349.32, 14959826.231999999 ]
chinese
train
train
train
AlignBench-generation_open-430
null
false
AlignBench
AlignBench
AlignBench-generation_open-430
original
我的职业是老师,请参考我的描述:\"讲了正余弦定理和复数部分。学生态度认真,但计算还需加强练习\",写一个大概100个字,对学生的评价
{"text":"我的职业是老师,请参考我的描述:\\\"讲了正余弦定理和复数部分。学生态度认真,但计算还需加强练习\\\",写一个大概100个字,对学生的评价"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.03178928419947624, 0.004752438515424728, -0.05026373267173767, -0.02038179151713848, 0.003574322909116745, -0.014085055328905582, 0.048737749457359314, 0.012892743572592735, 0.00516341719776392, 0.026176609098911285, 0.0053037311881780624, 0.01163964718580246, 0.006868039257824421, 0.01...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.699999988079071, 0.699999988079071, 0.5, 0.800000011920929, 0.800000011920929, 0.800000011920929, 0.800000011920929, 0.699999988079071, 0.800000011920929, 0.800000011920929 ]
[ 0.001521, 0.007992, 0.0416073, 0.0054768, 0.07234, 0.02022, 0.009108, 0.005424, 0.04878, 0.01784 ]
[ 1398512.694, 4002680.719, 4567988.5770000005, 443771.854, 4545061.66, 3363999.764, 4943539.503, 2999681.11, 5786174.935, 15904570.137999998 ]
chinese
train
train
train
AlignBench-generation_open-431
null
false
AlignBench
AlignBench
AlignBench-generation_open-431
original
给你一个开头,你来完成一个800字的小故事。 开头是: 从前有一个小朋友叫品品,他经常因为笨笨的被人欺负,直到有一天
{"text":"给你一个开头,你来完成一个800字的小故事。 开头是: 从前有一个小朋友叫品品,他经常因为笨笨的被人欺负,直到有一天"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.0522560179233551, 0.027158156037330627, -0.006480691954493523, -0.04054061695933342, -0.021344361826777458, -0.055382139980793, -0.007943082600831985, -0.017471041530370712, 0.007793104741722345, -0.017337992787361145, -0.004936914891004562, 0.03297740966081619, -0.06553717702627182, -0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.699999988079071, 0.8999999761581421, 0.699999988079071, 0.800000011920929, 0.699999988079071, 0.800000011920929, 0.699999988079071, 0.800000011920929, 0.699999988079071, 0.800000011920929 ]
[ 0.011646, 0.027729, 0.0194901, 0.0157248, 0.15244, 0.125328, 0.020252, 0.265944, 0.018492, 0.1224 ]
[ 1427058.775, 4098510.9940000004, 62299.898, 461832.063, 4643042.432, 3455447.471, 5008905.273, 3204473.636, 5807660.878, 16194221.120000001 ]
chinese
train
train
train
AlignBench-generation_open-432
null
false
AlignBench
AlignBench
AlignBench-generation_open-432
original
要求国际物流相关学术论文文献综述,要对比疫情前后的变化。统一封面,综述内容涉及5篇以上学术论文,其中不少于1篇外文,500字以上,文献综述要有综述不能罗列文献。按照文献综述的格式。
{"text":"要求国际物流相关学术论文文献综述,要对比疫情前后的变化。统一封面,综述内容涉及5篇以上学术论文,其中不少于1篇外文,500字以上,文献综述要有综述不能罗列文献。按照文献综述的格式。"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.04272709786891937, -0.008023551665246487, -0.0019666950684040785, -0.0051429420709609985, -0.02929813414812088, 0.015343519859015942, -0.03773464635014534, -0.006245982833206654, -0.023588182404637337, -0.036419518291950226, -0.043796319514513016, 0.02332921512424946, -0.01812070235610008...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.699999988079071, 0.8999999761581421, 1, 0.8999999761581421, 0.699999988079071, 0.699999988079071, 0.699999988079071, 0.699999988079071, 0.6000000238418579, 0.800000011920929 ]
[ 0.01386, 0.080784, 0.0254184, 0.038871, 1.06374, 0.126264, 0.026122, 0.24222, 0.074516, 0.354852 ]
[ 1348950.527, 3883834.446, 4273147.956, 404854.178, 1969052.892, 3226934.811, 4789490.983, 5581061.566000001, 5633937.603, 15100281.027999999 ]
chinese
train
train
train
AlignBench-generation_open-434
null
false
AlignBench
AlignBench
AlignBench-generation_open-434
original
标题:麦至快乐藏头诗两首(创建与标题相符的正文并拓展)
{"text":"标题:麦至快乐藏头诗两首(创建与标题相符的正文并拓展)"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.01365814171731472, 0.05577407777309418, -0.020956749096512794, -0.01990007795393467, -0.009031874127686024, -0.03210277482867241, -0.02174079790711403, -0.03910417482256889, 0.011133021675050259, -0.0015329422894865274, -0.03702117130160332, -0.005980133544653654, -0.0357443168759346, -...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 0.012744, 0.008748, 0.0318549, 0.0162624, 0.2371, 0.155412, 0.024716, 0.033228, 0.062836, 0.088372 ]
[ 1379421.75, 3896773.669, 4439548.505, 427911.086, 4439058.382999999, 3341529.872, 4890350.754, 2902530.778, 5722690.671999999, 15475688.346 ]
chinese
train
train
train
AlignBench-generation_open-435
null
false
AlignBench
AlignBench
AlignBench-generation_open-435
original
我希望你担任自媒体博主,为我生成吸引人眼球的爆款视频脚本,包含视频主题、内容简介、背景音乐、出镜人物、镜头、景别、画面描述、台词。要求台词语言夸张、情绪激动,画面引诱性强。\n视频内容强调“便宜、家人爱吃、个头大口感好”\n我的主题是:“海参先生”\n通过展现“为争夺海参兄弟反目”的故事,来展现主题\n请只回复你生成的1段视频脚本,尽可能详细,不需要解释
{"text":"我希望你担任自媒体博主,为我生成吸引人眼球的爆款视频脚本,包含视频主题、内容简介、背景音乐、出镜人物、镜头、景别、画面描述、台词。要求台词语言夸张、情绪激动,画面引诱性强。\\n视频内容强调“便宜、家人爱吃、个头大口感好”\\n我的主题是:“海参先生”\\n通过展现“为争夺海参兄弟反目”的故事,来展现主题\\n请只回复你生成的1段视频脚本,尽可能详细,不需要解释"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.00181752466596663, -0.004980234429240227, -0.0017438407521694899, -0.006760391406714916, 0.0016099876957014203, 0.010043243877589703, -0.003325343830510974, -0.003611312946304679, -0.059751588851213455, -0.023485513404011726, 0.003959548659622669, 0.013892889954149723, -0.01884176954627037...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.8999999761581421, 1, 0.800000011920929, 0.800000011920929, 1, 0.800000011920929, 0.800000011920929, 1, 0.800000011920929, 0.8999999761581421 ]
[ 0.010341, 0.026541, 0.0254247, 0.0297864, 0.30374, 0.072264, 0.021358, 0.094548, 0.069436, 0.139464 ]
[ 1422662.363, 4111869.9770000004, 4651944.914, 472028.08800000005, 4706838.995, 3440601.776, 5011488, 3129812.636, 5840318.214, 16252731.329 ]
chinese
train
train
train
AlignBench-generation_open-437
null
false
AlignBench
AlignBench
AlignBench-generation_open-437
original
如你是一位优秀的[小红书博主],你的目标用户是[有孩子的人],请写一篇短视频脚本,主题是关于[孩子的教育金],要求[开头抓住眼球,中间提供干货内容,结尾有惊喜],帮我按照[开头、中间、结尾] 的格式列一个短视频大纲
{"text":"如你是一位优秀的[小红书博主],你的目标用户是[有孩子的人],请写一篇短视频脚本,主题是关于[孩子的教育金],要求[开头抓住眼球,中间提供干货内容,结尾有惊喜],帮我按照[开头、中间、结尾] 的格式列一个短视频大纲"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ -0.04254237562417984, 0.0038866871036589146, -0.05367528274655342, 0.0009226816473528743, -0.03867248073220253, -0.012994663789868355, 0.0011503346031531692, -0.015813572332262993, -0.04491662606596947, -0.0178496316075325, 0.02216055989265442, -0.00022035720758140087, -0.0184502974152565, ...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 0.800000011920929, 0.800000011920929, 1, 0.8999999761581421, 0.8999999761581421, 0.699999988079071, 0.8999999761581421, 0.699999988079071, 0.8999999761581421 ]
[ 0.014946, 0.035766, 0.0206514, 0.0284466, 0.16358, 0.084768, 0.017876, 0.042468, 0.04934, 0.068772 ]
[ 1430363.177, 4102067.5579999997, 4610338.441, 466449.365, 4659354.099, 3432656.989, 4996843.209, 3068072.9609999997, 5821690.478, 16140791.18 ]
chinese
train
train
train
AlignBench-generation_open-439
null
false
AlignBench
AlignBench
AlignBench-generation_open-439
original
以雪景为题写一首七言绝句
{"text":"以雪景为题写一首七言绝句"}
[]
{"benchmark":"AlignBench","task_category":["Generation"],"kind":"original"}
BAAI/bge-m3
[ 0.004749693907797337, 0.067696213722229, -0.02139592543244362, -0.04678509384393692, 0.009627132676541805, -0.0008521306444890797, -0.023389719426631927, 0.05225104093551636, 0.029246587306261063, -0.05328434705734253, 0.030272284522652626, 0.03259902447462082, -0.0038201843854039907, -0.0...
[ "deepseek/deepseek-v4-flash", "deepseek/deepseek-v4-pro", "minimax/minimax-m2.7", "minimax/minimax-m3", "moonshot/kimi-k3", "qwen/qwen3.7-max", "qwen/qwen3.7-plus", "qwen/qwen3.8-max", "z-ai/glm-5.2", "z-ai/glm-5.3" ]
[ 0.800000011920929, 1, 0.699999988079071, 0.8999999761581421, 0.800000011920929, 1, 0.800000011920929, 0.800000011920929, 0.8999999761581421, 1 ]
[ 0.002544, 0.006444, 0.0065268, 0.0091518, 0.41674, 0.113136, 0.030248, 0.008232, 0.224828, 0.399828 ]
[ 1388089.858, 3995960.4949999996, 4443922.324, 435008.224, 4594311.907000001, 3373340.7430000002, 4956258.007, 2960888.366, 5848691.058, 15941085.220999999 ]